1. Control the population proportion through the slider

2. Each sample records two measures: The count and proportion of “yes” in the sample. Double click the sample collection to open its inspector

3. Check the sample size

4. Double click the measure collection to open its inspector Each collection contains measures from 1000 samples

5. Read from the summary table the sample statistics

6. Mean and standard deviation of the sample count. Drag the variable name to the graph window to display its distribution. Corresponding formulae for finding the mean and s.d. are

7. Another column shows the mean and standard deviation of the sample proportion Corresponding formulae for finding the mean and s.d. are

8. Distribution of sample count means.d. Sample size expectedempiricalexpectedempirical 201515.11.941.96 50 100 1000

9. Distribution of sample count means.d. Sample size expectedempiricalexpectedempirical 201515.11.941.96 5037.537.43.063.00 100 1000

10. Distribution of sample count means.d. Sample size expectedempiricalexpectedempirical 201515.11.941.96 5037.537.43.063.00 1007575.04.33 1000

11. Distribution of sample count means.d. Sample size expectedempiricalexpectedempirical 201515.11.941.96 5037.537.43.063.00 1007575.04.33 1000750 13.713.8

12. Distribution of sample proportion s.d Sample size expectedempirical 200.096824580.09784791 50 100 1000

13. Distribution of sample proportion s.d Sample size expectedempirical 200.096824580.09784791 500.061237240.06079092 100 1000

14. Distribution of sample proportion s.d Sample size expectedempirical 200.096824580.09784791 500.061237240.06079092 1000.043301270.04399347 1000

15. Distribution of sample proportion s.d Sample size expectedempirical 200.096824580.09784791 500.061237240.06079092 1000.043301270.04399347 10000.013693060.01415275