Hello everyone!
Can someone please share their thoughts on the following question with me.
Methods of hypothesis testing usually has a normality assumption for underlying data or for residuals in the case of regression. Why is this assumption important for either case; i.e. for 'Differences in Means' and 'Regression'.
Please let me know if you need any further clarification.
Thank you for your time.
Can someone please share their thoughts on the following question with me.
Methods of hypothesis testing usually has a normality assumption for underlying data or for residuals in the case of regression. Why is this assumption important for either case; i.e. for 'Differences in Means' and 'Regression'.
Please let me know if you need any further clarification.
Thank you for your time.