Two Population Proportion Inference
Data Summary
Counts: Feeling Better by Patients
| - |
yes |
no |
Total |
| Treatment |
21 |
9 |
30 |
| Control |
30 |
20 |
50 |
Confidence Interval for Difference of Two Population Proportions
Success = yes
Population 1 = Treatment, Population 2 = Control
Sample Size: Treatment = 30, Control = 50
Number of Successes: Treatment = 21, Control = 30
Proportion of Successes: Treatment = 0.7, Control = 0.6
Confidence level = 95%
| Method |
Midpoint |
Std Error |
Lower CL |
Upper CL |
Width |
| Large Sample z |
0.1 |
0.108628 |
-0.112907 |
0.312907 |
0.425813 |
| Bootstrap (Percentile) |
0.0933333 |
0.10765 |
-0.12 |
0.306667 |
0.426667 |
| Wilson-Score |
0.112735 |
0.108628 |
-0.0920369 |
0.317508 |
0.409545 |
Bootstrap Confidence Interval Graph: Feeling Better
![The title of
the graph is Bootstrap Distribution of Difference of Sample
Proportions , The graph shows the distribution of Proportion
Difference: (Treatment - Control) , hat(p)[1] - hat(p)[2] == 0.1 ,
Percentile Confidence Limits: (-0.12, 0.307) , Number of Replications
= 10000 , Seed = 100](G_ciPropBootstrap12.png)