Generally: I am interested in seeing if there is a statistically significant difference between baseline and the test conditions, given the null hypothesis that my test conditions are changing due to chance.
Specifically: I am testing different sales strategies and want to measure if the difference I'm seeing has a p-value of 0.05 or lower.
Here is an example of my data:
Trial, Success_Rate Baseline, 0.53 Change_1, 0.41 Change_2, 0.67 Change_3, 0.93 Change_4, 0.88
I usually use the K-S statistic to generate p-values, but that is usually between cumulative distribution functions, and not with such simplified data as above. What statistical test can I perform to test significance at each change (assuming
Change_n is independent of