I have a dataset of respondents (a point dataset) and their responses on a customer satisfaction scale with low, medium, and high categories. I would like to determine hotspots based on their satisfaction. Since Getis and Ord's Gi* test is based on the assumption of normality and my variable is not normally distributed, what test can I use to determine the potential statistically significant hotspots.
Thank you very much!
As I know, regression analysis require normally distributed data. Getis and Ord's Gi* metod interests in only p-values, z score, and gi-index. So you can determine that your values significant or not using p-values, z score, and gi-index.