Hey,
I am wondering which tests I can do to analyze my results and if there is a better way to analyze my results. If I have multiple treatments in columns and I have just one donor in a row, should I use an unpaired ANOVA test with Tukey's post-hoc analysis to compare my treatments to one another or can I use an unpaired student t-test and then manually compare each treatment alone to my control group. Also, if I have multiple treatments but then I have two donors, can I perform a paired ANOVA or is it ok to do a student's t-test and compare each treatment individually to my untreated samples? Which test in both cases is more reliable, and should I assume normal distribution and sphericity? I have no idea about specific things and I am wondering which one is the best to present in my thesis. Besides, If I do a t-test and ANOVA on the same data, some treatments are significant in one test but not in the other, what is the reason behind that? Furthermore, why do we perform statistics on raw data not normalized data?
Thank you, your inputs are well appreciated
Hello Aya Al-rawashdeh I think you can find answers to your questions here.
https://www.graphpad.com/guides/prism/latest/statistics/stat_comparing_three_or_more_groups.htm
https://www.graphpad.com/guides/prism/latest/statistics/analyses_of_one_grouping_varia.htm
Glad you are working with GraphPad Prism. You are one step ahead of others.
Hey Abolfazl,
I went throught the guide and tried to understand but to be honest, it’s not easy and I didn’t come up with satisfactory answers to what is the best option. That’s why I asked a question here.
Thank you