Search results

1. Effect Size WRS2 package : Robust anova

pplying the one way robust Anova of the WRS2 package for a specific dataset I get the following results: > t1way(totspcam ~ bono_recibido, data = spend_red) Call: t1way(formula = totspcam ~ bono_recibido, data = spend_red) Test statistic: 49.4939 Degrees of Freedom 1: 2 Degrees of...
2. Interpret GLM model in test of difference in proportions

I'm facing the following situation: We conducted a marketing campaign with three groups: 2 test vs 1 of control, where two different type of coupons sent to the two test groups, 3 euros vs. 6 euros. I understand that the best way to test the difference in proportion is a GLM model with binomial...
3. Multiple A/B test in R: methodology and any know tutorial

Dear All I'm currently facing the following situation. We have run a marketing campaign providing to some members one of two type of coupones. In addition to this, some of these members were already contacted in the previous one by another campaign. So I have the following dataset, where...
4. Several test groups and one big control group: split the group or not?

Dear members I'm preparing a test of proportions regarding a campaign redemption of several groups which have all common "demographics" but have been stimulated into different ways. At the same time I have a big group of people with the same demographics but which have not been stimulated...
5. Demonstration of statistical indipendence in a two way table

Hello at all guys There is someone which is able to demonstrate why , withi statistical indipendence, the conjoint frequency is the same of the product of marginal frequency, divided the frequency total?? which means nij=nij*= (ni. x n.j)/N I found everywhere the expression, but then it...