SOC222H5 Lecture Notes - Lecture 7: Effect Size, Menu Bar, Sampling Distribution
Document Summary
Today"s objectives: know : the meaning of expected frequencies and their role in chi-square calculations, how to run a chi-square test on spss, how to calculate the degrees of freedom in a crosstab. Terms to know chi square expected frequency observed frequency independence marginals critical value degrees of freedom (df) elaboration. Chi-square is a statistic- calculate it from your sample. 2x2 table, 4 cells: based solely on the marginals row and colum totals in the margins, sums of categories. Expected frequencies = null hypothesis because they assume nothing has happened. What is actually found, what sample tells us. Step 4: find critical value & significance level. 001- very little chance of making type one error. Rows: degrees of freedom (df) 2x2 table, one degree of freedom. Cells: give the critical value minimal value chi square must be for that degrees of freedom and significance value, 4. 881 is bigger than 3. 84 (the critical value for . 05)
