- Introduce the Chi-Square Distribution (X2) and when it is appropriate to use
- Present how to write the null hypothesis (H0: p1=p1, p2=p2,…, pk=pk) and alternative hypothesis (HA: p1≠p1, p2≠p2,…, pk≠pk) for a Chi-Square Goodness-of-Fit Test
- Introduce the Chi-Square Goodness-of-Fit Test ￼
- Demonstrate how to perform a Chi-Square Goodness-of-Fit Test using technology (calculator or computer)
- Demonstrate the steps of performing a Chi-Square Goodness-of-Fit Test, included necessary assumptions and conditions
- Practice interpreting calculated p-values in context of the problem to determine statistical significance
This packet introduces you to the chi-square distribution, specifically for use in testing goodness-of-fit. We show you the formula for calculating a chi-square statistic, what conditions must be met for you to use it, and how to interpret p-values for statistical significance.
This packet introduces you to the chi-square distribution. We have a powerpoint presentation on the distribution, the formula for the statistic, examples done, and examples for you to do. Some terms that may be new are:
This short powerpoint gives you the idea of the chi square distribution. The video below shows most of the information in this packet.
Here is a video showing you how to execute the Chi Square Test for Goodness of Fit.