QMS 202 Chapter Notes - Chapter 14: Null Hypothesis, Contingency Table

• School: Ryerson University
• Department: Quantitative Methods
• Course: QMS 202
• Professor: Daniel Mc Cleary

Document Summary

Qms 14. 1 chi-square test for the difference between two proportions. X1 number of items of interest in group 1. N1-x1 number of items that are not of interest in group 1. X = x1+x2 total number of items of interest n-x total number of items that are not of interest n1 sample size in group 1 n total sample size. X2 test for the difference between two proportions test the null hypothesis that there is no difference between the two population proportions. The x2 calc test statistic is equal to the squared difference between the observed and expected frequencies, divided by the expected frequency in each cell of the table summer over all cells of the table. If the null hypothesis is true, the proportion of items of interest in the two populations will be equal. P represents the estimated overall proportion of items of interest for the two groups combined. Computing the estimated overall proportion for two groups.