SOCI 109 Lecture Notes - Lecture 8: Standard Deviation, Null Hypothesis, Stata
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Egen bins: create 7 cuts to produce 6 discrete bins, etc. F determines if the independent variable can reliably predict the dependent variable. Start by stating your t-value and p-value. Go on to talk about other stuff like confidence interval, mean, etc. Y = a + bx1 + bx2 + If you have a really great model but all the p-values are high, you cannot use the model because there is a probability that they are happening at random. Same with p-values that are all statistically significant. Do a chi2 test for categorical variable. Explains how much difference exists between the observed counts and what you might expect if there were no relationship whatsoever. Yes -> pop. stdev known -> z test or t-test.
