Im running a logistic regression concerning voluntary audit (1 = yes, 0 = no).
First i want to look at some descriptive statistics and compare my variables to see if there is a statistical difference.
All my variables seem to be not normally distributed (i've looked at the histogram, QQ plot, shapiro wilk test) see pics (36) for example of histograms. My sample size is 5172 (3975 = yes, 1197 = no). i can run the Man whitney test to compare the medians because the shape's are more or less identical.
So i've decided to look at both the independ sample ttest and the man whitney test. The results are actually the same in both tests. (see pics 12)
But the t test compares the means and has more power i read and it is used in alot of similar papers. Is it appropriate if i just use the ttest and discuss these results? My sample is also quite large, so
Second question, i've got some categorical variables too. running a ttest on them is pointless i guess? Im thinking of doing a chi square test, but i've read you need to have 3 categories at least for this ?
First i want to look at some descriptive statistics and compare my variables to see if there is a statistical difference.
All my variables seem to be not normally distributed (i've looked at the histogram, QQ plot, shapiro wilk test) see pics (36) for example of histograms. My sample size is 5172 (3975 = yes, 1197 = no). i can run the Man whitney test to compare the medians because the shape's are more or less identical.
So i've decided to look at both the independ sample ttest and the man whitney test. The results are actually the same in both tests. (see pics 12)
But the t test compares the means and has more power i read and it is used in alot of similar papers. Is it appropriate if i just use the ttest and discuss these results? My sample is also quite large, so
Second question, i've got some categorical variables too. running a ttest on them is pointless i guess? Im thinking of doing a chi square test, but i've read you need to have 3 categories at least for this ?
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