COM CM 321 Lecture Notes - Lecture 10: Nonparametric Statistics, Contingency Table, Standard Deviation

• School: Boston University
• Department: Mass Communication, Advertising & Public Relations
• Course: COM CM 321
• Professor: Yiyan Zhang

Document Summary

The number of independent pieces of information that went into calculating the estimate: df = n (# of cases) k (# of statistics, example. If we"re calculating the mean of 4 values, then: n = 4 (number of values, k = 1 (statistic being calculated, aka. mean) Will affect the critical value of some statistics (ex. Used to calculate inferences and make predictions: all can be done in spss. Crosstabs: also called contingency table, display the count distribution of two or more variables. Chi-square: to see if the differences in a crosstab are significantly different from 0. If your independent variables and dependent variables are categorical, you can use crosstabs and chi-square to compare them: can be calculated based on crosstabs table. 1 to 0 = negative correlation (if x is larger, y is smaller) r = -1/0/1 are very rare.