Once you have consistent results print out the

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hand, go back and figure out what is causing the discrepancy. Once you have consistent results, print out the relevant Stata output. Copy and paste the command and results from the Stata results window to the appropriate place in the output sheet, circling the confidence interval on the output . **NOTE: Stata uses a slightly different formula to calculate the SE of the mean from sample statistics (using the square root of N and the t distribution rather than N-1 and the Z). Given the size of the sample, your confidence interval may be slightly different than what Stata gives you – but you should have the same results to the third decimal. If you’re so inclined, you could re- calculate the SE using Stata’s formula and see what that gives you. 6. Now shift your attention to the categorical variable. Use Stata to find the proportion of people who fit into the category (or categories) you have decided to focus on. You can do this by typing tabulate followed by the variable’s name. Record the proportion of people in the sample who fall into that category, as well as the total sample size, in the space below. (Be sure to record this as a proportion , not a percentage.) Copy and paste the command and results from the Stata results window to the appropriate place in the output sheet. P = .6944 N = 1,597 7. Now use P to estimate π (the population proportion). Specifically, construct a 95% confidence interval for the proportion of the population that falls into the category you’re focusing on.
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