Why do we need to test for normality? A. The underlying theory of the statistical tests requires data that meet the normality assumptions B. These statistical tests cannot be run in R or other statistical software on data that violate the normality assumption C. Data that don't meet the normality assumption are not found in real life D. If we use data that do not meet the normality assumption, our p-values will not be accurate