COMM 101 Lecture Notes - Lecture 19: Test Statistic, Standard Deviation, Central Tendency
28 Aug 2016
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Document Summary
Comparisons with frequencies and measures of distribution: frequencies are compared using cross tabs and calculating chi-squared, frequencies can be compared to distributions using p-values from t-tests, measures of distribution are compared using p-values from correlation coef cients. To report results, you need to have at least two pieces of information: test statistic, p-value. People who live more than 3 miles away are more likely to take te bus than to walk. The actual chi-squared is a measure of the difference between the observed and expected tables. Take away #1: chi-squared tests tell us the chances that identical distribution could have let to our results. Ttest([vals for group 1], [vals for group 2]) Take away #2: t-tests allow us to test if the means of two groups are signi cantly different from one another. Take away #3: correlations describe the linear relations between continuous variables.
