Chi Square Test-
Use: Examine Differences in distributions of nominal data. This was developed by Pearson in the early 1900’s.
The Chi Square test contains two types-
· Goodness of fit- This test determines whether an observed distribution fits a theoretical distribution. This is commonly used in Genetics.
· Contingency Analysis- This test determines whether an observed distribution from one sample is equal to an observed distribution from a second sample. An example of this is if one wanted to look at AIDS in North America compared to AIDS in Africa.
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