1.) Describe 5 different types of data distributions. You may include jpegs or bitmaps. Provide 2 examples of a variable that is representative for each distribution. You may not use the standard normal. t-distribution, F-distribution, Chi-Square distribution , Binomial distribution, or uniform distribution. These distributions are all covered in the course.

2.) Briefly summarize three different types/approaches to testing data for normality.

3.) In many cases, your homework problems state, "Assume the data is normally distributed". Why is testing for normality important?

4.) If the data is not normally distributed, what other methods or approaches can you use?

Answer rating: 100% (QA)

1 Skewed Distribution Positive Skew In a positively skewed distribution the tail of the distribution extends to the right Examples Income distribution with high earners causing the skew Age at retirem... View the full answer