Statistical Inference

 

Chi-Square Goodness-of-Fit test

Please select the following to give you practice on calculating the chi-squre goodness-of-fit test statistic:

The chi-square goodness-of-fit test is used to compare an observed distribution with a hypothesized distribution. Using this procedure, you can test a hypothesis regarding whether or not the observed data were generated by the hypothesized distribution. In order to use these procedures, the following assumption must be met:

  1. The expected value of each outcome is at least 5.

This assumption is in addition to the usual two assumptions that the sample is representative of the target population and that the sample values are independent.

If any of these assumptions are not met, then this is not the appropriate procedure to use.

© Ole J. Forsberg, Ph.D. 2017. All rights reserved.   .