![]() As p>0.05, we can not reject the null hypothesis that gender and final exam score are independent. We get a chi-square value of 0.3152 with 3 degrees of freedom, and the associated p value is at 0.9572. In order to test whether gender and final exam score are independent, we would input "5 7 8 6" in the first row for girls, and "6 8 7 5" in the second row for boys. In a final exam, 5 girls and 6 boys got A, 7 girls and 8 boys got A-, 8 girls and 7 boys got B, 6 girls and 5 boys got B. And the alternative hypothesis (H 1 or H a) is that all categories do not have an equal likelihood. If there is only 1 row or only 1 column, the null hypothesis (H 0) is that each category has an equal likelihood. And the alternative hypothesis (H 1 or H a) is that the row variable and the column variable are dependent. ![]() If there are at least 2 rows and 2 columns, the null hypothesis (H 0) is that the row variable and the column variable are independent. If the total frequency is under 20 and any cell has an expected frequency less than 5, the Chi-squared approximation might be incorrect. Here you can not only easily perform one-sample t-tests, but also two-sample t-tests, as well as paired t-tests The null hypothesis ( H0) and alternative hypothesis ( H1) of the Independent Samples t Test can be expressed in two different but equivalent ways: H0: µ 1 µ 2 ('the two population means are equal') H1: µ 1 µ 2 ('the two. The summary table should only include zero or positive integers. ![]() Chi-square test is used only for categorical variables.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |