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Academic Support AP Statistics Unit 2: Probability, Random Variables, and Probability Distributions

Empirical Rule for Normal Distributions: 68–95–99.7

36 visible MCQs, 14 FRQ sets, formulas, worked answers, and direct links to the complete AP Statistics practice system.

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AP Statistics Practice

Empirical Rule for Normal Distributions: 68–95–99.7

Empirical Rule for Normal Distributions: 68–95–99.7 practice bank: Solve the visible multiple-choice and free-response questions, then compare every step with the worked answers.

MCQs36
FRQ sets14
AnswersVisible
Topic links73 pages

Empirical Rule for Normal Distributions: 68–95–99.7: formulas and targets

Within 1 SDabout 68%
Within 2 SDabout 95%
Within 3 SDabout 99.7%

Empirical Rule multiple-choice practice

Question 1. Empirical Rule

An approximately normal distribution of application processing time at a housing authority in Lakeside district during a two-month observation window has mean 72 and SD 8. Use the empirical rule for the interval from 56 to 88.

  1. A. About 47.5% lies between the endpoints.
  2. B. Exactly 95.0% must lie there for every distribution.
  3. C. About 5.0% lies between the endpoints.
  4. D. About 95.0% lies between 56 and 88.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 1. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 56 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 56 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 56 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 2. Empirical Rule

An approximately normal distribution of appointment wait time at a university advising center in Pacific Northwest during a school-year data collection has mean 55 and SD 8. Use the empirical rule for the interval from 31 to 79.

  1. A. About 99.7% lies between 31 and 79.
  2. B. Exactly 99.7% must lie there for every distribution.
  3. C. About 0.3% lies between the endpoints.
  4. D. About 49.9% lies between the endpoints.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 2. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 31 and 79. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 31 and 79. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 31 and 79. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 3. Empirical Rule

An approximately normal distribution of algebra benchmark completion at a public high school in Pine Ridge during a six-week field trial has mean 85 and SD 4. Use the empirical rule for the interval from 73 to 97.

  1. A. About 99.7% lies between 73 and 97.
  2. B. Exactly 99.7% must lie there for every distribution.
  3. C. About 49.9% lies between the endpoints.
  4. D. About 0.3% lies between the endpoints.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 3. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 73 and 97. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 73 and 97. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 73 and 97. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 4. Empirical Rule

An approximately normal distribution of weekly program attendance at a county library in Central County during a weekday operations study has mean 79 and SD 12. Use the empirical rule for the interval from 43 to 115.

  1. A. About 0.3% lies between the endpoints.
  2. B. About 49.9% lies between the endpoints.
  3. C. Exactly 99.7% must lie there for every distribution.
  4. D. About 99.7% lies between 43 and 115.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 4. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 43 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 43 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 43 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 5. Empirical Rule

An approximately normal distribution of on-time arrival at a city transit agency in Midwest consortium during a semester-long cohort study has mean 40 and SD 15. Use the empirical rule for the interval from 10 to 70.

  1. A. Exactly 95.0% must lie there for every distribution.
  2. B. About 47.5% lies between the endpoints.
  3. C. About 95.0% lies between 10 and 70.
  4. D. About 5.0% lies between the endpoints.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 5. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 10 and 70. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 10 and 70. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 10 and 70. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 6. Empirical Rule

An approximately normal distribution of weekly material weight at a recycling program in Metro East during a service-improvement study has mean 96 and SD 4. Use the empirical rule for the interval from 88 to 104.

  1. A. About 95.0% lies between 88 and 104.
  2. B. Exactly 95.0% must lie there for every distribution.
  3. C. About 47.5% lies between the endpoints.
  4. D. About 5.0% lies between the endpoints.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 6. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 88 and 104. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 88 and 104. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 88 and 104. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 7. Empirical Rule

An approximately normal distribution of security wait time at a regional airport authority in Desert County during a randomized pilot period has mean 83 and SD 5. Use the empirical rule for the interval from 78 to 88.

  1. A. Exactly 68.0% must lie there for every distribution.
  2. B. About 34.0% lies between the endpoints.
  3. C. About 32.0% lies between the endpoints.
  4. D. About 68.0% lies between 78 and 88.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 7. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 78 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 78 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 78 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 8. Empirical Rule

An approximately normal distribution of security wait time at a regional airport authority in Pine Ridge during a pre-exam training cycle has mean 62 and SD 4. Use the empirical rule for the interval from 50 to 74.

  1. A. Exactly 99.7% must lie there for every distribution.
  2. B. About 49.9% lies between the endpoints.
  3. C. About 0.3% lies between the endpoints.
  4. D. About 99.7% lies between 50 and 74.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 8. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 50 and 74. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 50 and 74. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 50 and 74. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 9. Empirical Rule

An approximately normal distribution of weekly material weight at a recycling program in New England network during a weekday operations study has mean 51 and SD 10. Use the empirical rule for the interval from 31 to 71.

  1. A. About 47.5% lies between the endpoints.
  2. B. About 95.0% lies between 31 and 71.
  3. C. Exactly 95.0% must lie there for every distribution.
  4. D. About 5.0% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 9. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 71. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 31 and 71. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 71. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 10. Empirical Rule

An approximately normal distribution of ballot-processing time at a county election office in Mountain Region during a baseline measurement week has mean 50 and SD 13. Use the empirical rule for the interval from 24 to 76.

  1. A. About 5.0% lies between the endpoints.
  2. B. About 95.0% lies between 24 and 76.
  3. C. About 47.5% lies between the endpoints.
  4. D. Exactly 95.0% must lie there for every distribution.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 10. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 24 and 76. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 24 and 76. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 24 and 76. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 11. Empirical Rule

An approximately normal distribution of appointment wait time at a university advising center in Sunbelt district during a monthly quality review has mean 51 and SD 14. Use the empirical rule for the interval from 37 to 65.

  1. A. Exactly 68.0% must lie there for every distribution.
  2. B. About 34.0% lies between the endpoints.
  3. C. About 32.0% lies between the endpoints.
  4. D. About 68.0% lies between 37 and 65.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 11. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 37 and 65. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 37 and 65. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 37 and 65. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 12. Empirical Rule

An approximately normal distribution of monthly household use at a municipal water office in Pine Ridge during a six-week field trial has mean 45 and SD 7. Use the empirical rule for the interval from 31 to 59.

  1. A. About 5.0% lies between the endpoints.
  2. B. About 95.0% lies between 31 and 59.
  3. C. About 47.5% lies between the endpoints.
  4. D. Exactly 95.0% must lie there for every distribution.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 12. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 31 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 13. Empirical Rule

An approximately normal distribution of trail-use duration at a state park in Great Lakes during a baseline measurement week has mean 99 and SD 15. Use the empirical rule for the interval from 69 to 129.

  1. A. About 95.0% lies between 69 and 129.
  2. B. About 47.5% lies between the endpoints.
  3. C. About 5.0% lies between the endpoints.
  4. D. Exactly 95.0% must lie there for every distribution.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 13. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 69 and 129. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 69 and 129. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 69 and 129. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 14. Empirical Rule

An approximately normal distribution of security wait time at a regional airport authority in Desert County during a semester-long cohort study has mean 43 and SD 16. Use the empirical rule for the interval from 27 to 59.

  1. A. About 34.0% lies between the endpoints.
  2. B. Exactly 68.0% must lie there for every distribution.
  3. C. About 32.0% lies between the endpoints.
  4. D. About 68.0% lies between 27 and 59.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 14. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 27 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 27 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 27 and 59. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 15. Empirical Rule

An approximately normal distribution of security wait time at a regional airport authority in Pine Ridge during a monthly quality review has mean 88 and SD 5. Use the empirical rule for the interval from 78 to 98.

  1. A. About 95.0% lies between 78 and 98.
  2. B. About 5.0% lies between the endpoints.
  3. C. About 47.5% lies between the endpoints.
  4. D. Exactly 95.0% must lie there for every distribution.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 15. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 78 and 98. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 78 and 98. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 78 and 98. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 16. Empirical Rule

An approximately normal distribution of on-time arrival at a city transit agency in Metro East during a multiweek validation study has mean 90 and SD 8. Use the empirical rule for the interval from 66 to 114.

  1. A. About 99.7% lies between 66 and 114.
  2. B. Exactly 99.7% must lie there for every distribution.
  3. C. About 0.3% lies between the endpoints.
  4. D. About 49.9% lies between the endpoints.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 16. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 66 and 114. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 66 and 114. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 66 and 114. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 17. Empirical Rule

An approximately normal distribution of checkout time at a grocery cooperative in Midwest consortium during a pre-exam training cycle has mean 98 and SD 14. Use the empirical rule for the interval from 56 to 140.

  1. A. About 0.3% lies between the endpoints.
  2. B. About 99.7% lies between 56 and 140.
  3. C. Exactly 99.7% must lie there for every distribution.
  4. D. About 49.9% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 17. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 56 and 140. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 56 and 140. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 56 and 140. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 18. Empirical Rule

An approximately normal distribution of weekly material weight at a recycling program in Coastal Plains during a summer implementation review has mean 41 and SD 10. Use the empirical rule for the interval from 21 to 61.

  1. A. About 47.5% lies between the endpoints.
  2. B. About 5.0% lies between the endpoints.
  3. C. Exactly 95.0% must lie there for every distribution.
  4. D. About 95.0% lies between 21 and 61.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 18. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 21 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 21 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 21 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 19. Empirical Rule

An approximately normal distribution of ballot-processing time at a county election office in Prairie District during a fall 2026 audit has mean 66 and SD 14. Use the empirical rule for the interval from 24 to 108.

  1. A. About 0.3% lies between the endpoints.
  2. B. About 49.9% lies between the endpoints.
  3. C. Exactly 99.7% must lie there for every distribution.
  4. D. About 99.7% lies between 24 and 108.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 19. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 24 and 108. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 24 and 108. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 24 and 108. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 20. Empirical Rule

An approximately normal distribution of appointment wait time at a university advising center in Pacific Northwest during a spring 2027 pilot has mean 62 and SD 14. Use the empirical rule for the interval from 34 to 90.

  1. A. About 47.5% lies between the endpoints.
  2. B. About 95.0% lies between 34 and 90.
  3. C. About 5.0% lies between the endpoints.
  4. D. Exactly 95.0% must lie there for every distribution.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 20. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 34 and 90. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 34 and 90. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 34 and 90. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 21. Empirical Rule

An approximately normal distribution of crop yield at a farm cooperative in Mountain Region during a quarterly performance study has mean 50 and SD 9. Use the empirical rule for the interval from 32 to 68.

  1. A. About 47.5% lies between the endpoints.
  2. B. Exactly 95.0% must lie there for every distribution.
  3. C. About 5.0% lies between the endpoints.
  4. D. About 95.0% lies between 32 and 68.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 21. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 32 and 68. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 32 and 68. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 32 and 68. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 22. Empirical Rule

An approximately normal distribution of sample concentration at a food safety laboratory in Great Lakes during a semester-long cohort study has mean 93 and SD 6. Use the empirical rule for the interval from 87 to 99.

  1. A. About 34.0% lies between the endpoints.
  2. B. About 32.0% lies between the endpoints.
  3. C. Exactly 68.0% must lie there for every distribution.
  4. D. About 68.0% lies between 87 and 99.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 22. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 87 and 99. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 87 and 99. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 87 and 99. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 23. Empirical Rule

An approximately normal distribution of vaccination appointment completion at a public health department in South Harbor during a weekday operations study has mean 49 and SD 6. Use the empirical rule for the interval from 37 to 61.

  1. A. Exactly 95.0% must lie there for every distribution.
  2. B. About 47.5% lies between the endpoints.
  3. C. About 95.0% lies between 37 and 61.
  4. D. About 5.0% lies between the endpoints.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 23. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 37 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 37 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 37 and 61. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 24. Empirical Rule

An approximately normal distribution of application processing time at a housing authority in Lakeside district during a summer implementation review has mean 66 and SD 6. Use the empirical rule for the interval from 54 to 78.

  1. A. About 95.0% lies between 54 and 78.
  2. B. About 47.5% lies between the endpoints.
  3. C. Exactly 95.0% must lie there for every distribution.
  4. D. About 5.0% lies between the endpoints.

Answer: A

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 24. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 54 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 54 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 54 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 25. Empirical Rule

An approximately normal distribution of on-time arrival at a city transit agency in Pine Ridge during a six-week field trial has mean 47 and SD 8. Use the empirical rule for the interval from 31 to 63.

  1. A. About 5.0% lies between the endpoints.
  2. B. About 95.0% lies between 31 and 63.
  3. C. Exactly 95.0% must lie there for every distribution.
  4. D. About 47.5% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 25. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 63. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 31 and 63. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 31 and 63. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 26. Empirical Rule

An approximately normal distribution of weekly material weight at a recycling program in South Harbor during a follow-up evaluation period has mean 76 and SD 13. Use the empirical rule for the interval from 37 to 115.

  1. A. About 49.9% lies between the endpoints.
  2. B. About 99.7% lies between 37 and 115.
  3. C. Exactly 99.7% must lie there for every distribution.
  4. D. About 0.3% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 26. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 37 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 37 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 37 and 115. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 27. Empirical Rule

An approximately normal distribution of response time at a municipal emergency dispatch center in Sunbelt district during a summer implementation review has mean 56 and SD 4. Use the empirical rule for the interval from 48 to 64.

  1. A. About 47.5% lies between the endpoints.
  2. B. About 95.0% lies between 48 and 64.
  3. C. Exactly 95.0% must lie there for every distribution.
  4. D. About 5.0% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 27. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 48 and 64. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 48 and 64. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 48 and 64. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 28. Empirical Rule

An approximately normal distribution of application processing time at a housing authority in South Harbor during a spring 2027 pilot has mean 72 and SD 15. Use the empirical rule for the interval from 57 to 87.

  1. A. About 32.0% lies between the endpoints.
  2. B. About 34.0% lies between the endpoints.
  3. C. About 68.0% lies between 57 and 87.
  4. D. Exactly 68.0% must lie there for every distribution.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 28. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 57 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 57 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 57 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 29. Empirical Rule

An approximately normal distribution of recovery time at a wildlife clinic in Great Lakes during a spring 2027 pilot has mean 76 and SD 12. Use the empirical rule for the interval from 64 to 88.

  1. A. Exactly 68.0% must lie there for every distribution.
  2. B. About 68.0% lies between 64 and 88.
  3. C. About 34.0% lies between the endpoints.
  4. D. About 32.0% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 29. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 64 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 64 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 64 and 88. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 30. Empirical Rule

An approximately normal distribution of sample concentration at a food safety laboratory in Pine Ridge during a spring 2027 pilot has mean 72 and SD 12. Use the empirical rule for the interval from 48 to 96.

  1. A. Exactly 95.0% must lie there for every distribution.
  2. B. About 5.0% lies between the endpoints.
  3. C. About 95.0% lies between 48 and 96.
  4. D. About 47.5% lies between the endpoints.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 30. Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 95.0% lies between 48 and 96. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 48 and 96. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 95.0% lies between 48 and 96. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 31. Empirical Rule

An approximately normal distribution of course completion at a community college in Cedar Grove during a weekday operations study has mean 48 and SD 10. Use the empirical rule for the interval from 18 to 78.

  1. A. Exactly 99.7% must lie there for every distribution.
  2. B. About 99.7% lies between 18 and 78.
  3. C. About 0.3% lies between the endpoints.
  4. D. About 49.9% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 31. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 18 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 18 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 18 and 78. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 32. Empirical Rule

An approximately normal distribution of part diameter at a regional manufacturer in Cedar Grove during a semester-long cohort study has mean 67 and SD 5. Use the empirical rule for the interval from 52 to 82.

  1. A. Exactly 99.7% must lie there for every distribution.
  2. B. About 49.9% lies between the endpoints.
  3. C. About 99.7% lies between 52 and 82.
  4. D. About 0.3% lies between the endpoints.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 32. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 52 and 82. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 52 and 82. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 52 and 82. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 33. Empirical Rule

An approximately normal distribution of monthly household use at a municipal water office in South Harbor during a yearly program evaluation has mean 47 and SD 13. Use the empirical rule for the interval from 34 to 60.

  1. A. About 32.0% lies between the endpoints.
  2. B. About 34.0% lies between the endpoints.
  3. C. Exactly 68.0% must lie there for every distribution.
  4. D. About 68.0% lies between 34 and 60.

Answer: D

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 33. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 34 and 60. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 34 and 60. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 34 and 60. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 34. Empirical Rule

An approximately normal distribution of security wait time at a regional airport authority in South Harbor during a follow-up evaluation period has mean 86 and SD 6. Use the empirical rule for the interval from 80 to 92.

  1. A. About 32.0% lies between the endpoints.
  2. B. Exactly 68.0% must lie there for every distribution.
  3. C. About 68.0% lies between 80 and 92.
  4. D. About 34.0% lies between the endpoints.

Answer: C

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 34. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 80 and 92. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice B: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 80 and 92. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 80 and 92. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 35. Empirical Rule

An approximately normal distribution of course completion at a community college in North Valley during a quarterly performance study has mean 86 and SD 14. Use the empirical rule for the interval from 44 to 128.

  1. A. Exactly 99.7% must lie there for every distribution.
  2. B. About 99.7% lies between 44 and 128.
  3. C. About 0.3% lies between the endpoints.
  4. D. About 49.9% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 35. Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 99.7% lies between 44 and 128. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 44 and 128. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 99.7% lies between 44 and 128. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Question 36. Empirical Rule

An approximately normal distribution of sample concentration at a food safety laboratory in Mountain Region during a spring 2027 pilot has mean 80 and SD 7. Use the empirical rule for the interval from 73 to 87.

  1. A. Exactly 68.0% must lie there for every distribution.
  2. B. About 68.0% lies between 73 and 87.
  3. C. About 32.0% lies between the endpoints.
  4. D. About 34.0% lies between the endpoints.

Answer: B

Empirical Rule for Normal Distributions: 68–95–99.7 — Question 36. Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

Why the other choices fail

  • Choice A: It makes a conclusion that the data do not support. The correct comparison or result is: About 68.0% lies between 73 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice C: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 73 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.
  • Choice D: It does not match the requested calculation. The correct comparison or result is: About 68.0% lies between 73 and 87. Key check: About 68%, 95%, and 99.7% lie within 1, 2, and 3 standard deviations.

Empirical Rule free-response practice

10-point analytic study rubric used for the sets below
EvidencePoints
Correct target, notation, direction, or group order2
Correct method/model and defensible conditions2
Correct setup and execution3
Contextual interpretation and scope/limitation2
Clear communication with units and labels1

FRQ set 1: Empirical Rule

Scenario. An approximately normal distribution of sample concentration at a food safety laboratory in Lakeside district during a spring 2027 pilot has mean 69 and SD 14. Use the empirical rule for the interval from 41 to 97.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 1: Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

FRQ set 2: Empirical Rule

Scenario. An approximately normal distribution of security wait time at a regional airport authority in Midwest consortium during a follow-up evaluation period has mean 60 and SD 14. Use the empirical rule for the interval from 18 to 102.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 2: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 3: Empirical Rule

Scenario. An approximately normal distribution of trail-use duration at a state park in Riverbend during a winter readiness review has mean 97 and SD 4. Use the empirical rule for the interval from 85 to 109.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 3: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 4: Empirical Rule

Scenario. An approximately normal distribution of monthly household use at a municipal water office in Metro East during a school-year data collection has mean 97 and SD 10. Use the empirical rule for the interval from 67 to 127.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 4: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 5: Empirical Rule

Scenario. An approximately normal distribution of mobile-deposit adoption at a community bank in Cedar Grove during a pre-exam training cycle has mean 50 and SD 13. Use the empirical rule for the interval from 37 to 63.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 5: Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

FRQ set 6: Empirical Rule

Scenario. An approximately normal distribution of mobile-deposit adoption at a community bank in Cedar Grove during a yearly program evaluation has mean 60 and SD 13. Use the empirical rule for the interval from 21 to 99.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 6: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 7: Empirical Rule

Scenario. An approximately normal distribution of course completion at a community college in Sunbelt district during a semester-long cohort study has mean 55 and SD 15. Use the empirical rule for the interval from 25 to 85.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 7: Empirical Rule: The endpoints are μ±2σ. The empirical rule places about 95.0% within 2 standard deviations of the mean.

FRQ set 8: Empirical Rule

Scenario. An approximately normal distribution of daily energy output at a solar installer in Pacific Northwest during a community outreach cycle has mean 42 and SD 12. Use the empirical rule for the interval from 6 to 78.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 8: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 9: Empirical Rule

Scenario. An approximately normal distribution of appointment completion at a regional hospital in Sunbelt district during a multiweek validation study has mean 90 and SD 6. Use the empirical rule for the interval from 72 to 108.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 9: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 10: Empirical Rule

Scenario. An approximately normal distribution of mobile-deposit adoption at a community bank in Coastal Plains during a multiweek validation study has mean 63 and SD 7. Use the empirical rule for the interval from 42 to 84.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 10: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

FRQ set 11: Empirical Rule

Scenario. An approximately normal distribution of recovery time at a wildlife clinic in Sunbelt district during a weekday operations study has mean 54 and SD 10. Use the empirical rule for the interval from 44 to 64.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 11: Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

FRQ set 12: Empirical Rule

Scenario. An approximately normal distribution of course completion at a community college in Riverbend during a yearly program evaluation has mean 60 and SD 16. Use the empirical rule for the interval from 44 to 76.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 12: Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

FRQ set 13: Empirical Rule

Scenario. An approximately normal distribution of on-time arrival at a city transit agency in Pine Ridge during a yearly program evaluation has mean 59 and SD 13. Use the empirical rule for the interval from 46 to 72.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 13: Empirical Rule: The endpoints are μ±1σ. The empirical rule places about 68.0% within 1 standard deviation of the mean.

FRQ set 14: Empirical Rule

Scenario. An approximately normal distribution of mobile-deposit adoption at a community bank in Atlantic Corridor during a weekday operations study has mean 51 and SD 10. Use the empirical rule for the interval from 21 to 81.

  1. Define the variable, units, groups, and requested distribution or model feature.
  2. Show the required calculation or graphical/model reasoning with labeled quantities.
  3. Interpret the numerical result in the context of the data rather than as an isolated number.
  4. Identify an unusual feature, limitation, or condition that affects the conclusion.

Model response

Empirical Rule for Normal Distributions: 68–95–99.7 — FRQ set 14: Empirical Rule: The endpoints are μ±3σ. The empirical rule places about 99.7% within 3 standard deviations of the mean.

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Engr. Muhammad Yar Saqib

Engr. Muhammad Yar Saqib is an electrical engineer educated at the University of Bradford, United Kingdom, a writer and poet, and an Assistant Education Officer in the School Education Department, Punjab, serving since July 2017. He writes practical guides on statistics, SPSS, data analysis, mathematics and educational technology, with an emphasis on transparent methods, reproducible calculations and ethical learning support.