28
Feb
Reading Chi Square Table. This tells us that there is no statistically significant association between Gender and Preferred. Minitab calculates each cells contribution to the chi-square statistic as the square of the difference between the observed and expected values for a cell divided by the expected value for that cell. Now all we need to do is read the chi-square value where the r10 row and the PXle x095 column intersect. The key result in the Chi-Square Tests table is the Pearson Chi-Square.
What do you get. To use the Chi-square distribution table you only need two values. Look up the p value associated with your chi-square test statistic using the chi-square distribution table. In this table the number of degrees of freedom corresponds to the row that we will use. We can see here that χ 1 0487 p 485. No cells had an expected count less than 5 so this assumption was met.
Then we calculate chi2sumcfracO_i-E_i2E_i where O_i and E_i are the observed and the expected values at the ith trial respectively.
Use this chi square distribution table to find area to the right of a critical value. Look up the p value associated with your chi-square test statistic using the chi-square distribution table. The number of degrees of freedom is r - 1 c - 1. Chi-square Distribution Table df. The Chi-square distribution table is a table that shows the critical values of the Chi-square distribution. No cells had an expected count less than 5 so this assumption was met.