I have an issue regarding the analysis of one sample n = 100 consisting of two groups (50 customers and 50 people who are not customers of a certain brand)

Participants have also stated their gender, age and occupation.

I have conducted a survey with multiple questions and want to analyze the results whether there are significant differences between the answers of the groups. The problem is, I have multiple questions which can be grouped to a certain topic. Let's say 3 questions go under trust for example. How would I conduct a t-test from that data to find out differences between the groups and how would the Mean and Standard Deviation be reported? :confused::confused::confused:

I am really confused so sorry if that is a stupid question in advance. Hope you can help me. Thank you in advance!

Kind regards,

RSV2 ]]>

I'm a newbie Ph.D. student and encountering an issue regarding which analysis to use for my study. Please help me out if you have some time.

My study design is basically two treatment groups and one control group with pre and posttest. However, the pretest scores for one of the variables have significant differences across the three conditions which I need to control for that. I tried ANCOVA and the homogeneity of variance was violated. Unfortunately, the group sizes were different (N=56/35/21). I know there has being controversies about using gain score analysis. I wonder what other analysis I can use. Thank you for your time. :D ]]>

where M is the length Of each block

I understand that this follows a chi-square goodness of fit test observed-expected frequency square. But where does this 4M come from ?

Thank you. ]]>