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2 votes
2 answers
337 views

Concept Clarification: Wilcoxon rank test vs two-samples T-test (UPDATE)

I am currently deciding whether to use the Wilcoxon rank test vs two-samples T-test to assess BMI between two unrelated groups. Using the following code to assess normality ...
R Beginner's user avatar
0 votes
0 answers
933 views

Normally distributed data but small sample size, use nonparametric test?

My data set is very small (n=16) which according to a Shapiro-wilk test is normally distributed (p=0.82), despite the histogram looking questionable. When I split the data into my two categories there ...
Katharine Davies's user avatar
0 votes
1 answer
36 views

Significant difference between two non normal and inhomogene groups

I've done some measurement of tissue rigidity. So I did 1.000 measures with healthy (n=300) and ill (n=700) people. Now I want to find out if there is a significant different value of the measured ...
user3142695's user avatar
2 votes
2 answers
585 views

Mann Whitney U test with normal distribution approximation: null hypothesis rejected?

I'm new with U test and I have some doubts about the rejection of the null hypothesis with the U test with normal distribution approximation. In my example I used this data for a 1 tailed test: $$ ...
maccN's user avatar
  • 21
2 votes
0 answers
167 views

How do I check data for normality, then what next...?

I am currently undertaking a hypothesis test for some financial returns data. I'm getting slightly confused on parametric versus non-parametric testing. I am testing a market portfolio of 305 stocks ...
Darren Nicol's user avatar
0 votes
2 answers
2k views

Absolute values -- parametric or non-parametric test?

I am looking at the absolute difference in values between pairs of numbers. I am then comparing these absolute values between two groups (e.g. Males and Females). Since these are absolute values I ...
Lexi's user avatar
  • 1
4 votes
4 answers
10k views

Which test to choose when the results from t-test and Wilcoxon test are different?

I have a sample of 48. According to the central limit theorem, I may consider means of every continuous variable in my sample to have a normal distribution. However, one variable has a mean of 14 +/- ...
smallheart's user avatar