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section8_handout_stat104_josh

# section8_handout_stat104_josh - Stat 104 Section 8 Josh...

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Unformatted text preview: Stat 104 Section 8 Josh Zagorsky < [email protected] > Notes From HW 6 1. When asked for a hypothesis test, don’t do a confidence interval. 2. Two-sided versus one-sided tests 3. What’s a p-value mean? Probability of a Type I Error. 4. p never equals 0. Just real close. New Concepts 1. Regression assumes that the Dependent Variable (usually y ) is affected by the Independent Variable (usually x ). 2. We can do a hypothesis test on a regression coefficient to check whether it has a significant effect. b 1 is the sample slope coefficient, β 1 is the population slope coefficient, and s b 1 is the standard deviation of the slope coefficient. 3. Chi-Square Test χ 2 = ∑ ( o i- e i ) 2 e i where o i is an observation value and e i is an expected value. See examples in Lecture 26. Degrees of freedom = (number of rows - 1) × (number of columns -1) To run a Chi-Square test in Stata: tabulate var1 var2, chi2 Practice Problems 1) For this problem, we will be doing a regression analysis on whether we think a nation’s per capita GDP (in American dollars) is associated with that country’s literacy rate. In fact, we will look at log(GDP) vs....
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section8_handout_stat104_josh - Stat 104 Section 8 Josh...

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