I've run a small experiment and need to test the data by comparing the frequencies of different treatments, specifically, whether they are significantly different. I think the chi-squared test is appropriate, but I am not sure how to execute it because it's somewhat outside the range of my course.
Simplifying, the data looks something like this:
A Choices (%) B Choices (%) Observations Treatment 1: 40 60 n=30 Treatment 2: 65 35 n=30 Treatment 3: 70 30 n=30
How exactly would I conduct a chi-sq test?
Is it the best test for investigating differences in the frequencies of 'A' between treatment pairs?
Say, testing H0: Treatment1(% A Choices) = Treatment3 (% A Choices)
Is it also possible to do a test like H0: Treatment2(% A Choices) = Treatment3(% A Choices) > Treatment1(% A Choices)