Dear Forum,
I have 2 groups for which I need to compare the length of stay (LOS) post-op: a control and a treatment group.
My control group has the following descriptive stats: (n=66; Mean = 8.42; Median = 6.00; SD = 7.45; Kurtosis = 17.66; Skewness = 3.81), while my treatment group is as follows: (n=25; Mean = 4.88; Median = 5.00; SD = 2.22; Kurtosis = 0.31; Skewness = -0.78). I would consider the treatment group to be normally distributed, but my control group of patients is definitely not.
My question is: what is the best way to compare these two groups? Should I use a non-parametric test, such as a Mann-Whitney, since one of the groups is not normal?
Many thanks!
Locolindo
I have 2 groups for which I need to compare the length of stay (LOS) post-op: a control and a treatment group.
My control group has the following descriptive stats: (n=66; Mean = 8.42; Median = 6.00; SD = 7.45; Kurtosis = 17.66; Skewness = 3.81), while my treatment group is as follows: (n=25; Mean = 4.88; Median = 5.00; SD = 2.22; Kurtosis = 0.31; Skewness = -0.78). I would consider the treatment group to be normally distributed, but my control group of patients is definitely not.
My question is: what is the best way to compare these two groups? Should I use a non-parametric test, such as a Mann-Whitney, since one of the groups is not normal?
Many thanks!
Locolindo