1. Chapter 13 Test for Goodness of Fit
Chi Square, 2,Goodness of Fit is a test that checks to see if observed counts from a sample are significantly different than an expected (standard) value
Chi Square distributions are all right skewed and their actual shape depends on their degrees of freedom (one less than the number of categories)

2. Again the larger the sample size, the closer the distribution comes to being normal.

3. Assumptions/Conditions:
If the chi square value is large the corresponding P-value is small and indicates significance.
Assumptions/Conditions:
SRS
All expected counts are at least 5
Independent observations, 10% condition if sampling without replacement (N > 10n)

4. Chi Square Steps State Ho and Ha
Calculate expected values (multiply total observations by stated percentages)
Calculate (O-E)2/E for each category
Add up that column to get value
After doing the test, always do a follow-up analysis
of the data with a graph. Homework page 710 problems 1,3,4