Two-Proportion Z Test: Conditions, Pooled Proportion, and Examples
A decision-and-workflow guide for a two-proportion z test, covering method selection, conditions, mathematics, calculator evidence, and contextual reporting.
Method at a Glance: Two Proportion z-Test
A two-proportion z test pools successes only under the equal-proportions null; the corresponding confidence interval remains unpooled.
Procedure Workflow
- Identify the data structure and parameter before selecting two proportion z test; the name of a calculator menu is not method evidence.
- State the hypotheses or estimation target for two proportion z test using population notation and the order defined by the question.
- Verify the design, independence, and approximation conditions that specifically justify two proportion z test rather than reciting every condition learned in the course.
- Compute the statistic, standard error, interval, or p-value for two proportion z test with defined symbols, guard digits, and an independent arithmetic check.
- Interpret two proportion z test in the population and units named by the problem, then limit causation and generalization to what the collection design supports.
Procedure Formulas and Notation
Pooled sample proportion
Pooled sample proportion in Two Proportion z-Test: Pooling is justified only by an equal-proportions null hypothesis; do not transfer this standard error to a confidence interval.
Two-proportion z statistic
Two-proportion z statistic in Two Proportion z-Test: Pooling is justified only by an equal-proportions null hypothesis; do not transfer this standard error to a confidence interval.
Hypotheses
Decision
For Hypotheses in two proportion z test, In constructed independent samples from a battery-life laboratory trial, compare 230/410 with 189/420 using .
Hypotheses result in two proportion z test: The pooled estimate is 0.5048, z=3.197, and the two-sided p-value is 0.0014.
Interpretation and validity
Hypotheses interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Hypotheses: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Independent groups
Decision
For Independent groups in two proportion z test, In constructed independent samples from an online-course completion sample, compare 247/411 with 206/421 using .
Independent groups result in two proportion z test: The pooled estimate is 0.5445, z=3.233, and the two-sided p-value is 0.0012.
Interpretation and validity
Independent groups interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Independent groups: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Conditions
Decision
For Conditions in two proportion z test, In constructed independent samples from a recycling-behavior survey, compare 255/412 with 215/422 using .
Conditions result in two proportion z test: The pooled estimate is 0.5635, z=3.187, and the two-sided p-value is 0.0014.
Interpretation and validity
Conditions interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Conditions: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Pooled proportion
Decision
For Pooled proportion in two proportion z test, In constructed independent samples from a quality-control inspection, compare 244/413 with 203/423 using .
Pooled proportion result in two proportion z test: The pooled estimate is 0.5347, z=3.214, and the two-sided p-value is 0.0013.
Interpretation and validity
Pooled proportion interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Pooled proportion: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Standard error
Decision
For Standard error in two proportion z test, In constructed independent samples from a website response-time study, compare 240/414 with 199/424 using .
Standard error result in two proportion z test: The pooled estimate is 0.5239, z=3.198, and the two-sided p-value is 0.0014.
Interpretation and validity
Standard error interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Standard error: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
z statistic
Decision
For z statistic in two proportion z test, In constructed independent samples from a classroom memory study, compare 232/415 with 191/425 using .
z statistic result in two proportion z test: The pooled estimate is 0.5036, z=3.177, and the two-sided p-value is 0.0015.
Interpretation and validity
z statistic interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and z statistic: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Calculator
Decision
For Calculator in two proportion z test, In constructed independent samples from a campus dining survey, compare 254/416 with 213/426 using .
Calculator result in two proportion z test: The pooled estimate is 0.5546, z=3.228, and the two-sided p-value is 0.0012.
Interpretation and validity
Calculator interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Calculator: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Conclusion
Decision
For Conclusion in two proportion z test, In constructed independent samples from a reading-speed investigation, compare 238/417 with 196/427 using .
Conclusion result in two proportion z test: The pooled estimate is 0.5142, z=3.247, and the two-sided p-value is 0.0012.
Interpretation and validity
Conclusion interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Conclusion: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Worked FRQ
Decision
For Worked FRQ in two proportion z test, In constructed independent samples from a public-parks visitor survey, compare 238/418 with 197/428 using .
Worked FRQ result in two proportion z test: The pooled estimate is 0.5142, z=3.174, and the two-sided p-value is 0.0015.
Interpretation and validity
Worked FRQ interpretation for two proportion z test: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha.
Condition evidence for two proportion z test and Worked FRQ: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
Procedure Practice and Full Solutions
Every question in Two-Proportion Z Test: Conditions, Pooled Proportion, and Examples 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: Independent groups
Question P65-Easy-1. In constructed independent samples from a seedling-growth comparison, compare 67/110 with 60/120 using .
Worked solution and validity check
Worked solution P65-Easy-1. The pooled estimate is 0.5522, z=1.662, and the two-sided p-value is 0.0965. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 2: Conditions
Question P65-Easy-2. In constructed independent samples from a water-filtration experiment, compare 61/111 with 53/121 using .
Worked solution and validity check
Worked solution P65-Easy-2. The pooled estimate is 0.4914, z=1.697, and the two-sided p-value is 0.0896. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 3: Pooled proportion
Question P65-Easy-3. In constructed independent samples from a recycling-behavior survey, compare 65/112 with 57/122 using .
Worked solution and validity check
Worked solution P65-Easy-3. The pooled estimate is 0.5214, z=1.731, and the two-sided p-value is 0.0835. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 4: Standard error
Question P65-Easy-4. In constructed independent samples from a recycling-behavior survey, compare 64/113 with 57/123 using .
Worked solution and validity check
Worked solution P65-Easy-4. The pooled estimate is 0.5127, z=1.581, and the two-sided p-value is 0.1139. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 5: z statistic
Question P65-Easy-5. In constructed independent samples from a city bus arrival investigation, compare 70/114 with 62/124 using .
Worked solution and validity check
Worked solution P65-Easy-5. The pooled estimate is 0.5546, z=1.768, and the two-sided p-value is 0.0770. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 6: Calculator
Question P65-Easy-6. In constructed independent samples from a recycling-behavior survey, compare 68/115 with 60/125 using .
Worked solution and validity check
Worked solution P65-Easy-6. The pooled estimate is 0.5333, z=1.727, and the two-sided p-value is 0.0842. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 7: Conclusion
Question P65-Easy-7. In constructed independent samples from a public-parks visitor survey, compare 71/116 with 63/126 using .
Worked solution and validity check
Worked solution P65-Easy-7. The pooled estimate is 0.5537, z=1.752, and the two-sided p-value is 0.0798. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 8: Worked FRQ
Question P65-Easy-8. In constructed independent samples from a campus dining survey, compare 70/117 with 62/127 using .
Worked solution and validity check
Worked solution P65-Easy-8. The pooled estimate is 0.5410, z=1.724, and the two-sided p-value is 0.0847. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 9: Hypotheses
Question P65-Easy-9. In constructed independent samples from a recycling-behavior survey, compare 66/118 with 58/128 using .
Worked solution and validity check
Worked solution P65-Easy-9. The pooled estimate is 0.5041, z=1.664, and the two-sided p-value is 0.0960. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 10: Independent groups
Question P65-Easy-10. In constructed independent samples from a tutoring-program evaluation, compare 69/119 with 61/129 using .
Worked solution and validity check
Worked solution P65-Easy-10. The pooled estimate is 0.5242, z=1.685, and the two-sided p-value is 0.0920. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 11: Conditions
Question P65-Easy-11. In constructed independent samples from a seedling-growth comparison, compare 66/120 with 57/130 using .
Worked solution and validity check
Worked solution P65-Easy-11. The pooled estimate is 0.4920, z=1.762, and the two-sided p-value is 0.0780. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 12: Pooled proportion
Question P65-Easy-12. In constructed independent samples from a quality-control inspection, compare 69/121 with 60/131 using .
Worked solution and validity check
Worked solution P65-Easy-12. The pooled estimate is 0.5119, z=1.781, and the two-sided p-value is 0.0750. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 13: Standard error
Question P65-Easy-13. In constructed independent samples from a battery-life laboratory trial, compare 76/122 with 67/132 using .
Worked solution and validity check
Worked solution P65-Easy-13. The pooled estimate is 0.5630, z=1.852, and the two-sided p-value is 0.0640. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 14: z statistic
Question P65-Easy-14. In constructed independent samples from a campus dining survey, compare 76/123 with 68/133 using .
Worked solution and validity check
Worked solution P65-Easy-14. The pooled estimate is 0.5625, z=1.718, and the two-sided p-value is 0.0858. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 15: Calculator
Question P65-Easy-15. In constructed independent samples from a manufacturing fill-volume check, compare 74/124 with 66/134 using .
Worked solution and validity check
Worked solution P65-Easy-15. The pooled estimate is 0.5426, z=1.679, and the two-sided p-value is 0.0931. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Easy 16: Conclusion
Question P65-Easy-16. In constructed independent samples from a quality-control inspection, compare 71/125 with 62/135 using .
Worked solution and validity check
Worked solution P65-Easy-16. The pooled estimate is 0.5115, z=1.753, and the two-sided p-value is 0.0797. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough Practice
Tough 1: Pooled proportion
Question P65-Tough-1. In constructed independent samples from a seedling-growth comparison, compare 63/110 with 55/120 using .
Worked solution and validity check
Worked solution P65-Tough-1. The pooled estimate is 0.5130, z=1.734, and the two-sided p-value is 0.0830. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 2: Standard error
Question P65-Tough-2. In constructed independent samples from a water-filtration experiment, compare 61/111 with 53/121 using .
Worked solution and validity check
Worked solution P65-Tough-2. The pooled estimate is 0.4914, z=1.697, and the two-sided p-value is 0.0896. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 3: z statistic
Question P65-Tough-3. In constructed independent samples from a tutoring-program evaluation, compare 62/112 with 54/122 using .
Worked solution and validity check
Worked solution P65-Tough-3. The pooled estimate is 0.4957, z=1.696, and the two-sided p-value is 0.0899. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 4: Calculator
Question P65-Tough-4. In constructed independent samples from a greenhouse germination experiment, compare 62/113 with 54/123 using .
Worked solution and validity check
Worked solution P65-Tough-4. The pooled estimate is 0.4915, z=1.683, and the two-sided p-value is 0.0923. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 5: Conclusion
Question P65-Tough-5. In constructed independent samples from a package-delivery sample, compare 65/114 with 57/124 using .
Worked solution and validity check
Worked solution P65-Tough-5. The pooled estimate is 0.5126, z=1.704, and the two-sided p-value is 0.0884. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 6: Worked FRQ
Question P65-Tough-6. In constructed independent samples from a battery-life laboratory trial, compare 66/115 with 58/125 using .
Worked solution and validity check
Worked solution P65-Tough-6. The pooled estimate is 0.5167, z=1.702, and the two-sided p-value is 0.0887. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 7: Hypotheses
Question P65-Tough-7. In constructed independent samples from a tutoring-program evaluation, compare 71/116 with 63/126 using .
Worked solution and validity check
Worked solution P65-Tough-7. The pooled estimate is 0.5537, z=1.752, and the two-sided p-value is 0.0798. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 8: Independent groups
Question P65-Tough-8. In constructed independent samples from a school library checkout study, compare 70/117 with 62/127 using .
Worked solution and validity check
Worked solution P65-Tough-8. The pooled estimate is 0.5410, z=1.724, and the two-sided p-value is 0.0847. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 9: Conditions
Question P65-Tough-9. In constructed independent samples from a battery-life laboratory trial, compare 66/118 with 58/128 using .
Worked solution and validity check
Worked solution P65-Tough-9. The pooled estimate is 0.5041, z=1.664, and the two-sided p-value is 0.0960. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 10: Pooled proportion
Question P65-Tough-10. In constructed independent samples from an online-course completion sample, compare 67/119 with 58/129 using .
Worked solution and validity check
Worked solution P65-Tough-10. The pooled estimate is 0.5040, z=1.785, and the two-sided p-value is 0.0743. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 11: Standard error
Question P65-Tough-11. In constructed independent samples from a school library checkout study, compare 66/120 with 57/130 using .
Worked solution and validity check
Worked solution P65-Tough-11. The pooled estimate is 0.4920, z=1.762, and the two-sided p-value is 0.0780. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 12: z statistic
Question P65-Tough-12. In constructed independent samples from a greenhouse germination experiment, compare 71/121 with 63/131 using .
Worked solution and validity check
Worked solution P65-Tough-12. The pooled estimate is 0.5317, z=1.683, and the two-sided p-value is 0.0925. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 13: Calculator
Question P65-Tough-13. In constructed independent samples from a campus dining survey, compare 74/122 with 66/132 using .
Worked solution and validity check
Worked solution P65-Tough-13. The pooled estimate is 0.5512, z=1.706, and the two-sided p-value is 0.0880. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 14: Conclusion
Question P65-Tough-14. In constructed independent samples from a battery-life laboratory trial, compare 70/123 with 61/133 using .
Worked solution and validity check
Worked solution P65-Tough-14. The pooled estimate is 0.5117, z=1.766, and the two-sided p-value is 0.0773. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 15: Worked FRQ
Question P65-Tough-15. In constructed independent samples from a public-parks visitor survey, compare 76/124 with 67/134 using .
Worked solution and validity check
Worked solution P65-Tough-15. The pooled estimate is 0.5543, z=1.823, and the two-sided p-value is 0.0683. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Tough 16: Hypotheses
Question P65-Tough-16. In constructed independent samples from a public-parks visitor survey, compare 73/125 with 63/135 using .
Worked solution and validity check
Worked solution P65-Tough-16. The pooled estimate is 0.5231, z=1.893, and the two-sided p-value is 0.0584. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest Practice
Toughest 1: Conditions
Question P65-Toughest-1. In constructed independent samples from a tutoring-program evaluation, compare 63/110 with 55/120 using .
Worked solution and validity check
Worked solution P65-Toughest-1. The pooled estimate is 0.5130, z=1.734, and the two-sided p-value is 0.0830. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 2: Pooled proportion
Question P65-Toughest-2. In constructed independent samples from a reading-speed investigation, compare 63/111 with 56/121 using .
Worked solution and validity check
Worked solution P65-Toughest-2. The pooled estimate is 0.5129, z=1.595, and the two-sided p-value is 0.1108. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 3: Standard error
Question P65-Toughest-3. In constructed independent samples from a recycling-behavior survey, compare 63/112 with 55/122 using .
Worked solution and validity check
Worked solution P65-Toughest-3. The pooled estimate is 0.5043, z=1.707, and the two-sided p-value is 0.0878. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 4: z statistic
Question P65-Toughest-4. In constructed independent samples from a commuter route study, compare 64/113 with 57/123 using .
Worked solution and validity check
Worked solution P65-Toughest-4. The pooled estimate is 0.5127, z=1.581, and the two-sided p-value is 0.1139. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 5: Calculator
Question P65-Toughest-5. In constructed independent samples from a seedling-growth comparison, compare 65/114 with 57/124 using .
Worked solution and validity check
Worked solution P65-Toughest-5. The pooled estimate is 0.5126, z=1.704, and the two-sided p-value is 0.0884. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 6: Conclusion
Question P65-Toughest-6. In constructed independent samples from an online-course completion sample, compare 69/115 with 61/125 using .
Worked solution and validity check
Worked solution P65-Toughest-6. The pooled estimate is 0.5417, z=1.740, and the two-sided p-value is 0.0819. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 7: Worked FRQ
Question P65-Toughest-7. In constructed independent samples from a classroom memory study, compare 66/116 with 58/126 using .
Worked solution and validity check
Worked solution P65-Toughest-7. The pooled estimate is 0.5124, z=1.689, and the two-sided p-value is 0.0912. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 8: Hypotheses
Question P65-Toughest-8. In constructed independent samples from a package-delivery sample, compare 68/117 with 60/127 using .
Worked solution and validity check
Worked solution P65-Toughest-8. The pooled estimate is 0.5246, z=1.699, and the two-sided p-value is 0.0892. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 9: Independent groups
Question P65-Toughest-9. In constructed independent samples from a commuter route study, compare 73/118 with 65/128 using .
Worked solution and validity check
Worked solution P65-Toughest-9. The pooled estimate is 0.5610, z=1.750, and the two-sided p-value is 0.0801. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 10: Conditions
Question P65-Toughest-10. In constructed independent samples from a greenhouse germination experiment, compare 70/119 with 62/129 using .
Worked solution and validity check
Worked solution P65-Toughest-10. The pooled estimate is 0.5323, z=1.697, and the two-sided p-value is 0.0897. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 11: Pooled proportion
Question P65-Toughest-11. In constructed independent samples from a commuter route study, compare 67/120 with 58/130 using .
Worked solution and validity check
Worked solution P65-Toughest-11. The pooled estimate is 0.5000, z=1.772, and the two-sided p-value is 0.0763. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 12: Standard error
Question P65-Toughest-12. In constructed independent samples from an online-course completion sample, compare 68/121 with 59/131 using .
Worked solution and validity check
Worked solution P65-Toughest-12. The pooled estimate is 0.5040, z=1.770, and the two-sided p-value is 0.0767. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 13: z statistic
Question P65-Toughest-13. In constructed independent samples from a city bus arrival investigation, compare 72/122 with 63/132 using .
Worked solution and validity check
Worked solution P65-Toughest-13. The pooled estimate is 0.5315, z=1.801, and the two-sided p-value is 0.0716. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 14: Calculator
Question P65-Toughest-14. In constructed independent samples from a public-parks visitor survey, compare 71/123 with 63/133 using .
Worked solution and validity check
Worked solution P65-Toughest-14. The pooled estimate is 0.5234, z=1.657, and the two-sided p-value is 0.0974. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 15: Conclusion
Question P65-Toughest-15. In constructed independent samples from a water-filtration experiment, compare 69/124 with 60/134 using .
Worked solution and validity check
Worked solution P65-Toughest-15. The pooled estimate is 0.5000, z=1.745, and the two-sided p-value is 0.0811. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
Toughest 16: Worked FRQ
Question P65-Toughest-16. In constructed independent samples from a greenhouse germination experiment, compare 76/125 with 68/135 using .
Worked solution and validity check
Worked solution P65-Toughest-16. The pooled estimate is 0.5538, z=1.690, and the two-sided p-value is 0.0910. Interpretation: Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. Validity: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. Error to reject: The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval.
AP Response and Publication Checklist
| Audit point | Required evidence for two proportion z test |
|---|---|
| Scope | Use pooled standard error only because H0 sets the population proportions equal. |
| Method or source | A two-proportion z test pools successes only under the equal-proportions null; the corresponding confidence interval remains unpooled. |
| Calculation | |
| Interpretation | Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. |
| Validity | Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group. |
| Correction | The pooled proportion is justified only under the null equality; do not use it for the matching confidence interval. |
Frequently Asked Questions
How does hypotheses work in two proportion z test?
Answer for two proportion z test and Hypotheses. The pooled estimate is 0.5049, z=5.212, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does independent groups work in two proportion z test?
Answer for two proportion z test and Independent groups. The pooled estimate is 0.5148, z=5.173, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does conditions work in two proportion z test?
Answer for two proportion z test and Conditions. The pooled estimate is 0.5645, z=5.233, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does pooled proportion work in two proportion z test?
Answer for two proportion z test and Pooled proportion. The pooled estimate is 0.5045, z=5.204, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does standard error work in two proportion z test?
Answer for two proportion z test and Standard error. The pooled estimate is 0.5147, z=5.209, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does z statistic work in two proportion z test?
Answer for two proportion z test and z statistic. The pooled estimate is 0.5446, z=5.238, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. The required validity evidence is: Require independent random groups or randomized treatments, within-group independence, and pooled expected successes and failures of at least 10 in each group.
How does two proportion hypothesis test connect to Two Proportion z-Test?
two proportion hypothesis test within two proportion z test. The pooled estimate is 0.5148, z=5.445, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Hypotheses, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis test for two proportions connect to Two Proportion z-Test?
hypothesis test for two proportions within two proportion z test. The pooled estimate is 0.5148, z=5.402, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Independent groups, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis testing for two proportions connect to Two Proportion z-Test?
hypothesis testing for two proportions within two proportion z test. The pooled estimate is 0.5049, z=5.434, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Conditions, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis testing two proportions connect to Two Proportion z-Test?
hypothesis testing two proportions within two proportion z test. The pooled estimate is 0.5447, z=5.470, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Pooled proportion, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does 2 proportion hypothesis test connect to Two Proportion z-Test?
2 proportion hypothesis test within two proportion z test. The pooled estimate is 0.5648, z=5.500, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Standard error, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis test for 2 proportions connect to Two Proportion z-Test?
hypothesis test for 2 proportions within two proportion z test. The pooled estimate is 0.5545, z=5.480, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For z statistic, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis test for two proportions calculator connect to Two Proportion z-Test?
hypothesis test for two proportions calculator within two proportion z test. The pooled estimate is 0.5647, z=5.496, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Calculator, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
How does hypothesis test two proportions calculator connect to Two Proportion z-Test?
hypothesis test two proportions calculator within two proportion z test. The pooled estimate is 0.5348, z=5.448, and the two-sided p-value is 0.0000. Compare the p-value with the stated alpha and make a population conclusion in the direction specified by Ha. For Conclusion, the controlling scope is: Use pooled standard error only because H0 sets the population proportions equal.
Sources
Administrative and curricular statements in Two-Proportion Z Test: Conditions, Pooled Proportion, and Examples 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.
Two Proportion z-Test Conclusion
A two-proportion z test pools successes only under the equal-proportions null; the corresponding confidence interval remains unpooled. Mastery of two proportion z test therefore requires the exact evidence, mathematics, interpretation, and scope developed in this guide, while preserving this boundary: Use pooled standard error only because H0 sets the population proportions equal.