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

Standard Normal Distribution Table and Calculator Guide

Learn normal distribution table with current AP Statistics scope, proper formulas, worked examples, and original Easy, Tough, and Toughest questions.

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Reference and Calculator

Standard Normal Distribution Table and Calculator Guide

A lookup-first reference for standard normal tables and calculator commands, organized around notation, formulas or controls, correct selection, and worked verification.

Course status: Revised 2026-27 course
Updated: July 18, 2026
Practice: Easy, Tough and Toughest

Reference at a Glance: Normal Distribution Table

A standard normal table normally reports left-tail area, so right tails require a complement and middle intervals require subtraction; inverse normal reverses area to a z-value.

Reader taskleft-tail area, complements, intervals, inverse normal, and rounding
Planned modules7
Mathematics1 expressions
Worked checks63

Boundary: Do not turn this into a general normal-distribution article.

Reference Formula Index

Normal interval probability

P(a<X<b)=Φ(bμσ)Φ(aμσ)

Normal interval probability in Normal Distribution Table: Define the event or random variable first; complements, conditioning, and trial assumptions determine which probability expression applies.

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Standard normal distribution

Lookup decision

Standard normal distribution: The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean.

z=49.56913=1.50,P(X49.5)=Φ(1.50)0.0668.

Selection check for normal distribution table and Standard normal distribution: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Reading a z table

Lookup decision

Reading a z table: The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. The value is 1.00 standard deviations below the model mean.

z=56.06913=1.00,P(X56.0)=Φ(1.00)0.1587.

Selection check for normal distribution table and Reading a z table: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Left, right, and between areas

Lookup decision

Left, right, and between areas: The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. The value is 0.50 standard deviations above the model mean.

z=81.07512=0.50,P(X81.0)=Φ(0.50)0.6915.

Selection check for normal distribution table and Left, right, and between areas: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Inverse normal

Lookup decision

Inverse normal: The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. The value is 1.25 standard deviations above the model mean.

z=84.0748=1.25,P(X84.0)=Φ(1.25)0.8944.

Selection check for normal distribution table and Inverse normal: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Calculator procedures

Lookup decision

Calculator procedures: The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. The value is 2.00 standard deviations above the model mean.

z=98.07810=2.00,P(X98.0)=Φ(2.00)0.9772.

Selection check for normal distribution table and Calculator procedures: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Table download

Lookup decision

Table download: The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean.

z=49.06410=1.50,P(X49.0)=Φ(1.50)0.0668.

Selection check for normal distribution table and Table download: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Practice

Lookup decision

Practice: The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. The value is 1.00 standard deviations below the model mean.

z=56.0648=1.00,P(X56.0)=Φ(1.00)0.1587.

Selection check for normal distribution table and Practice: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

Do not use the reference this way: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Reference Drills with Worked Answers

Every question in Standard Normal Distribution Table and Calculator Guide is newly written from the revised framework and the logic visible in public College Board materials. Constructed numerical settings are identified as instructional scenarios and are never represented as measurements from a real population. No released or secure question wording is reproduced.

Easy Practice

Easy 1: Calculator procedures

Question P31-Easy-1. In a constructed normal model for a manufacturing fill-volume check, μ=71 and σ=11. Analyze x=54.5 using calculator procedures.

Worked solution and validity check

Worked solution P31-Easy-1. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=54.57111=1.50,P(X54.5)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 2: Table download

Question P31-Easy-2. In a constructed normal model for a recycling-behavior survey, μ=61 and σ=10. Analyze x=51.0 using table download.

Worked solution and validity check

Worked solution P31-Easy-2. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=51.06110=1.00,P(X51.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 3: Practice

Question P31-Easy-3. In a constructed normal model for a seedling-growth comparison, μ=75 and σ=6. Analyze x=78.0 using practice.

Worked solution and validity check

Worked solution P31-Easy-3. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=78.0756=0.50,P(X78.0)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 4: Standard normal distribution

Question P31-Easy-4. In a constructed normal model for a greenhouse germination experiment, μ=70 and σ=8. Analyze x=80.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Easy-4. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=80.0708=1.25,P(X80.0)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 5: Reading a z table

Question P31-Easy-5. In a constructed normal model for a city bus arrival investigation, μ=64 and σ=10. Analyze x=84.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Easy-5. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=84.06410=2.00,P(X84.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 6: Left, right, and between areas

Question P31-Easy-6. In a constructed normal model for a recycling-behavior survey, μ=60 and σ=10. Analyze x=45.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Easy-6. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=45.06010=1.50,P(X45.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 7: Inverse normal

Question P31-Easy-7. In a constructed normal model for a recycling-behavior survey, μ=71 and σ=9. Analyze x=62.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Easy-7. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=62.0719=1.00,P(X62.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 8: Calculator procedures

Question P31-Easy-8. In a constructed normal model for a greenhouse germination experiment, μ=60 and σ=6. Analyze x=63.0 using calculator procedures.

Worked solution and validity check

Worked solution P31-Easy-8. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=63.0606=0.50,P(X63.0)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 9: Table download

Question P31-Easy-9. In a constructed normal model for a greenhouse germination experiment, μ=74 and σ=13. Analyze x=90.2 using table download.

Worked solution and validity check

Worked solution P31-Easy-9. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=90.27413=1.25,P(X90.2)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 10: Practice

Question P31-Easy-10. In a constructed normal model for an online-course completion sample, μ=61 and σ=7. Analyze x=75.0 using practice.

Worked solution and validity check

Worked solution P31-Easy-10. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=75.0617=2.00,P(X75.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 11: Standard normal distribution

Question P31-Easy-11. In a constructed normal model for a seedling-growth comparison, μ=70 and σ=10. Analyze x=55.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Easy-11. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=55.07010=1.50,P(X55.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 12: Reading a z table

Question P31-Easy-12. In a constructed normal model for a campus dining survey, μ=77 and σ=13. Analyze x=64.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Easy-12. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=64.07713=1.00,P(X64.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 13: Left, right, and between areas

Question P31-Easy-13. In a constructed normal model for a commuter route study, μ=63 and σ=13. Analyze x=69.5 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Easy-13. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=69.56313=0.50,P(X69.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 14: Inverse normal

Question P31-Easy-14. In a constructed normal model for a tutoring-program evaluation, μ=71 and σ=7. Analyze x=79.8 using inverse normal.

Worked solution and validity check

Worked solution P31-Easy-14. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=79.8717=1.25,P(X79.8)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 15: Calculator procedures

Question P31-Easy-15. In a constructed normal model for a tutoring-program evaluation, μ=73 and σ=10. Analyze x=93.0 using calculator procedures.

Worked solution and validity check

Worked solution P31-Easy-15. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=93.07310=2.00,P(X93.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 16: Table download

Question P31-Easy-16. In a constructed normal model for a battery-life laboratory trial, μ=74 and σ=12. Analyze x=56.0 using table download.

Worked solution and validity check

Worked solution P31-Easy-16. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=56.07412=1.50,P(X56.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 17: Practice

Question P31-Easy-17. In a constructed normal model for a water-filtration experiment, μ=80 and σ=11. Analyze x=69.0 using practice.

Worked solution and validity check

Worked solution P31-Easy-17. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=69.08011=1.00,P(X69.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 18: Standard normal distribution

Question P31-Easy-18. In a constructed normal model for a commuter route study, μ=64 and σ=12. Analyze x=70.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Easy-18. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=70.06412=0.50,P(X70.0)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 19: Reading a z table

Question P31-Easy-19. In a constructed normal model for a tutoring-program evaluation, μ=60 and σ=12. Analyze x=75.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Easy-19. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=75.06012=1.25,P(X75.0)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 20: Left, right, and between areas

Question P31-Easy-20. In a constructed normal model for a recycling-behavior survey, μ=61 and σ=8. Analyze x=77.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Easy-20. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=77.0618=2.00,P(X77.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Easy 21: Inverse normal

Question P31-Easy-21. In a constructed normal model for a campus dining survey, μ=74 and σ=6. Analyze x=65.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Easy-21. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=65.0746=1.50,P(X65.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough Practice

Tough 1: Table download

Question P31-Tough-1. In a constructed normal model for a classroom memory study, μ=76 and σ=12. Analyze x=58.0 using table download.

Worked solution and validity check

Worked solution P31-Tough-1. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=58.07612=1.50,P(X58.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 2: Practice

Question P31-Tough-2. In a constructed normal model for a school library checkout study, μ=62 and σ=9. Analyze x=53.0 using practice.

Worked solution and validity check

Worked solution P31-Tough-2. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=53.0629=1.00,P(X53.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 3: Standard normal distribution

Question P31-Tough-3. In a constructed normal model for a water-filtration experiment, μ=61 and σ=11. Analyze x=66.5 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Tough-3. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=66.56111=0.50,P(X66.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 4: Reading a z table

Question P31-Tough-4. In a constructed normal model for a classroom memory study, μ=73 and σ=7. Analyze x=81.8 using reading a z table.

Worked solution and validity check

Worked solution P31-Tough-4. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=81.8737=1.25,P(X81.8)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 5: Left, right, and between areas

Question P31-Tough-5. In a constructed normal model for a campus dining survey, μ=63 and σ=8. Analyze x=79.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Tough-5. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=79.0638=2.00,P(X79.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 6: Inverse normal

Question P31-Tough-6. In a constructed normal model for a public-parks visitor survey, μ=61 and σ=11. Analyze x=44.5 using inverse normal.

Worked solution and validity check

Worked solution P31-Tough-6. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=44.56111=1.50,P(X44.5)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 7: Calculator procedures

Question P31-Tough-7. In a constructed normal model for a commuter route study, μ=66 and σ=9. Analyze x=57.0 using calculator procedures.

Worked solution and validity check

Worked solution P31-Tough-7. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=57.0669=1.00,P(X57.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 8: Table download

Question P31-Tough-8. In a constructed normal model for a seedling-growth comparison, μ=79 and σ=9. Analyze x=83.5 using table download.

Worked solution and validity check

Worked solution P31-Tough-8. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=83.5799=0.50,P(X83.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 9: Practice

Question P31-Tough-9. In a constructed normal model for a package-delivery sample, μ=78 and σ=10. Analyze x=90.5 using practice.

Worked solution and validity check

Worked solution P31-Tough-9. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=90.57810=1.25,P(X90.5)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 10: Standard normal distribution

Question P31-Tough-10. In a constructed normal model for a greenhouse germination experiment, μ=67 and σ=8. Analyze x=83.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Tough-10. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=83.0678=2.00,P(X83.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 11: Reading a z table

Question P31-Tough-11. In a constructed normal model for a seedling-growth comparison, μ=70 and σ=6. Analyze x=61.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Tough-11. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=61.0706=1.50,P(X61.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 12: Left, right, and between areas

Question P31-Tough-12. In a constructed normal model for a tutoring-program evaluation, μ=79 and σ=13. Analyze x=66.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Tough-12. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=66.07913=1.00,P(X66.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 13: Inverse normal

Question P31-Tough-13. In a constructed normal model for a classroom memory study, μ=73 and σ=12. Analyze x=79.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Tough-13. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=79.07312=0.50,P(X79.0)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 14: Calculator procedures

Question P31-Tough-14. In a constructed normal model for a public-parks visitor survey, μ=68 and σ=9. Analyze x=79.2 using calculator procedures.

Worked solution and validity check

Worked solution P31-Tough-14. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=79.2689=1.25,P(X79.2)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 15: Table download

Question P31-Tough-15. In a constructed normal model for a city bus arrival investigation, μ=60 and σ=10. Analyze x=80.0 using table download.

Worked solution and validity check

Worked solution P31-Tough-15. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=80.06010=2.00,P(X80.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 16: Practice

Question P31-Tough-16. In a constructed normal model for a classroom memory study, μ=61 and σ=9. Analyze x=47.5 using practice.

Worked solution and validity check

Worked solution P31-Tough-16. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=47.5619=1.50,P(X47.5)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 17: Standard normal distribution

Question P31-Tough-17. In a constructed normal model for a water-filtration experiment, μ=68 and σ=11. Analyze x=57.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Tough-17. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=57.06811=1.00,P(X57.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 18: Reading a z table

Question P31-Tough-18. In a constructed normal model for a school library checkout study, μ=76 and σ=13. Analyze x=82.5 using reading a z table.

Worked solution and validity check

Worked solution P31-Tough-18. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=82.57613=0.50,P(X82.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 19: Left, right, and between areas

Question P31-Tough-19. In a constructed normal model for a campus dining survey, μ=70 and σ=10. Analyze x=82.5 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Tough-19. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=82.57010=1.25,P(X82.5)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 20: Inverse normal

Question P31-Tough-20. In a constructed normal model for a greenhouse germination experiment, μ=63 and σ=12. Analyze x=87.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Tough-20. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=87.06312=2.00,P(X87.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Tough 21: Calculator procedures

Question P31-Tough-21. In a constructed normal model for a city bus arrival investigation, μ=78 and σ=10. Analyze x=63.0 using calculator procedures.

Worked solution and validity check

Worked solution P31-Tough-21. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=63.07810=1.50,P(X63.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest Practice

Toughest 1: Reading a z table

Question P31-Toughest-1. In a constructed normal model for a tutoring-program evaluation, μ=63 and σ=12. Analyze x=45.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Toughest-1. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=45.06312=1.50,P(X45.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 2: Left, right, and between areas

Question P31-Toughest-2. In a constructed normal model for a city bus arrival investigation, μ=70 and σ=9. Analyze x=61.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Toughest-2. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=61.0709=1.00,P(X61.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 3: Inverse normal

Question P31-Toughest-3. In a constructed normal model for a school library checkout study, μ=70 and σ=10. Analyze x=75.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Toughest-3. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=75.07010=0.50,P(X75.0)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 4: Calculator procedures

Question P31-Toughest-4. In a constructed normal model for a website response-time study, μ=76 and σ=8. Analyze x=86.0 using calculator procedures.

Worked solution and validity check

Worked solution P31-Toughest-4. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=86.0768=1.25,P(X86.0)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 5: Table download

Question P31-Toughest-5. In a constructed normal model for a battery-life laboratory trial, μ=64 and σ=11. Analyze x=86.0 using table download.

Worked solution and validity check

Worked solution P31-Toughest-5. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=86.06411=2.00,P(X86.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 6: Practice

Question P31-Toughest-6. In a constructed normal model for a classroom memory study, μ=71 and σ=13. Analyze x=51.5 using practice.

Worked solution and validity check

Worked solution P31-Toughest-6. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=51.57113=1.50,P(X51.5)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 7: Standard normal distribution

Question P31-Toughest-7. In a constructed normal model for a website response-time study, μ=61 and σ=9. Analyze x=52.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Toughest-7. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=52.0619=1.00,P(X52.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 8: Reading a z table

Question P31-Toughest-8. In a constructed normal model for an online-course completion sample, μ=66 and σ=7. Analyze x=69.5 using reading a z table.

Worked solution and validity check

Worked solution P31-Toughest-8. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=69.5667=0.50,P(X69.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 9: Left, right, and between areas

Question P31-Toughest-9. In a constructed normal model for a battery-life laboratory trial, μ=63 and σ=11. Analyze x=76.8 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Toughest-9. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=76.86311=1.25,P(X76.8)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 10: Inverse normal

Question P31-Toughest-10. In a constructed normal model for a quality-control inspection, μ=60 and σ=12. Analyze x=84.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Toughest-10. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=84.06012=2.00,P(X84.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 11: Calculator procedures

Question P31-Toughest-11. In a constructed normal model for a greenhouse germination experiment, μ=69 and σ=9. Analyze x=55.5 using calculator procedures.

Worked solution and validity check

Worked solution P31-Toughest-11. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=55.5699=1.50,P(X55.5)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 12: Table download

Question P31-Toughest-12. In a constructed normal model for a classroom memory study, μ=80 and σ=7. Analyze x=73.0 using table download.

Worked solution and validity check

Worked solution P31-Toughest-12. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=73.0807=1.00,P(X73.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 13: Practice

Question P31-Toughest-13. In a constructed normal model for a quality-control inspection, μ=72 and σ=13. Analyze x=78.5 using practice.

Worked solution and validity check

Worked solution P31-Toughest-13. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=78.57213=0.50,P(X78.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 14: Standard normal distribution

Question P31-Toughest-14. In a constructed normal model for a reading-speed investigation, μ=75 and σ=12. Analyze x=90.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Toughest-14. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=90.07512=1.25,P(X90.0)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 15: Reading a z table

Question P31-Toughest-15. In a constructed normal model for a campus dining survey, μ=80 and σ=10. Analyze x=100.0 using reading a z table.

Worked solution and validity check

Worked solution P31-Toughest-15. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=100.08010=2.00,P(X100.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 16: Left, right, and between areas

Question P31-Toughest-16. In a constructed normal model for a manufacturing fill-volume check, μ=62 and σ=6. Analyze x=53.0 using left, right, and between areas.

Worked solution and validity check

Worked solution P31-Toughest-16. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=53.0626=1.50,P(X53.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 17: Inverse normal

Question P31-Toughest-17. In a constructed normal model for a manufacturing fill-volume check, μ=67 and σ=9. Analyze x=58.0 using inverse normal.

Worked solution and validity check

Worked solution P31-Toughest-17. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. z=58.0679=1.00,P(X58.0)=Φ(1.00)0.1587. Interpretation: The value is 1.00 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 18: Calculator procedures

Question P31-Toughest-18. In a constructed normal model for a seedling-growth comparison, μ=63 and σ=9. Analyze x=67.5 using calculator procedures.

Worked solution and validity check

Worked solution P31-Toughest-18. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. z=67.5639=0.50,P(X67.5)=Φ(0.50)0.6915. Interpretation: The value is 0.50 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 19: Table download

Question P31-Toughest-19. In a constructed normal model for a recycling-behavior survey, μ=80 and σ=7. Analyze x=88.8 using table download.

Worked solution and validity check

Worked solution P31-Toughest-19. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. z=88.8807=1.25,P(X88.8)=Φ(1.25)0.8944. Interpretation: The value is 1.25 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 20: Practice

Question P31-Toughest-20. In a constructed normal model for a reading-speed investigation, μ=66 and σ=6. Analyze x=78.0 using practice.

Worked solution and validity check

Worked solution P31-Toughest-20. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. z=78.0666=2.00,P(X78.0)=Φ(2.00)0.9772. Interpretation: The value is 2.00 standard deviations above the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Toughest 21: Standard normal distribution

Question P31-Toughest-21. In a constructed normal model for a package-delivery sample, μ=63 and σ=12. Analyze x=45.0 using standard normal distribution.

Worked solution and validity check

Worked solution P31-Toughest-21. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. z=45.06312=1.50,P(X45.0)=Φ(1.50)0.0668. Interpretation: The value is 1.50 standard deviations below the model mean. Validity: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape. Error to reject: A z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

AP Response and Publication Checklist

Audit pointRequired evidence for normal distribution table
ScopeDo not turn this into a general normal-distribution article.
Method or sourceA standard normal table normally reports left-tail area, so right tails require a complement and middle intervals require subtraction; inverse normal reverses area to a z-value.
Calculationz=68.0808=1.50,P(X68.0)=Φ(1.50)0.0668.
InterpretationThe value is 1.50 standard deviations below the model mean.
ValidityA normal probability statement requires a reasonable normal model; standardization alone does not establish shape.
CorrectionA z-score is a signed standard-deviation distance, whereas a percentile is a cumulative proportion below a value.

Frequently Asked Questions

How does standard normal distribution work in normal distribution table?

Answer for normal distribution table and Standard normal distribution. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does reading a z table work in normal distribution table?

Answer for normal distribution table and Reading a z table. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. The value is 1.00 standard deviations below the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does left, right, and between areas work in normal distribution table?

Answer for normal distribution table and Left, right, and between areas. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. The value is 0.50 standard deviations above the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does inverse normal work in normal distribution table?

Answer for normal distribution table and Inverse normal. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. The value is 1.25 standard deviations above the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does calculator procedures work in normal distribution table?

Answer for normal distribution table and Calculator procedures. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. The value is 2.00 standard deviations above the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does table download work in normal distribution table?

Answer for normal distribution table and Table download. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean. The required validity evidence is: A normal probability statement requires a reasonable normal model; standardization alone does not establish shape.

How does normal distribution calculator connect to Normal Distribution Table?

normal distribution calculator within normal distribution table. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean. For Standard normal distribution, the controlling scope is: Do not turn this into a general normal-distribution article.

How does standard normal distribution table connect to Normal Distribution Table?

standard normal distribution table within normal distribution table. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. The value is 1.00 standard deviations below the model mean. For Reading a z table, the controlling scope is: Do not turn this into a general normal-distribution article.

How does z normal distribution table connect to Normal Distribution Table?

z normal distribution table within normal distribution table. The standardized score is z=0.50; the modeled proportion at or below x is approximately 0.6915. The value is 0.50 standard deviations above the model mean. For Left, right, and between areas, the controlling scope is: Do not turn this into a general normal-distribution article.

How does z table for normal distribution connect to Normal Distribution Table?

z table for normal distribution within normal distribution table. The standardized score is z=1.25; the modeled proportion at or below x is approximately 0.8944. The value is 1.25 standard deviations above the model mean. For Inverse normal, the controlling scope is: Do not turn this into a general normal-distribution article.

How does z table standard normal distribution connect to Normal Distribution Table?

z table standard normal distribution within normal distribution table. The standardized score is z=2.00; the modeled proportion at or below x is approximately 0.9772. The value is 2.00 standard deviations above the model mean. For Calculator procedures, the controlling scope is: Do not turn this into a general normal-distribution article.

How does normal distribution table z connect to Normal Distribution Table?

normal distribution table z within normal distribution table. The standardized score is z=-1.50; the modeled proportion at or below x is approximately 0.0668. The value is 1.50 standard deviations below the model mean. For Table download, the controlling scope is: Do not turn this into a general normal-distribution article.

How does z table normal distribution connect to Normal Distribution Table?

z table normal distribution within normal distribution table. The standardized score is z=-1.00; the modeled proportion at or below x is approximately 0.1587. The value is 1.00 standard deviations below the model mean. For Practice, the controlling scope is: Do not turn this into a general normal-distribution article.

Sources

Administrative and curricular statements in Standard Normal Distribution Table and Calculator Guide were checked on July 18, 2026. The linked College Board pages control any later policy change; all instructional datasets in original questions are explicitly constructed rather than attributed to a real study.

Normal Distribution Table Conclusion

A standard normal table normally reports left-tail area, so right tails require a complement and middle intervals require subtraction; inverse normal reverses area to a z-value. Mastery of normal distribution table therefore requires the exact evidence, mathematics, interpretation, and scope developed in this guide, while preserving this boundary: Do not turn this into a general normal-distribution article.

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