Download this small Stata dataset from http://teaching.sociology.ul.ie/so5041/assign3.dta.
Use Stata to compare the mean income of men with that of women. Interpret the results in terms of the null hypothesis that mean income is the same in the two groups.
Using the same downloaded data set, do the following separately for men and women:
A sample of adults has been asked to record how much time they spend watching television in a given week. They have also been asked to record their work hours. Researchers feel that time spent working will affect time spent watching television.
To test this hypothesis, they conduct a regression analysis, with TV time in minutes per day as the dependent variable and Work time (in hours per week) as the explanatory variable. That is, TV =a+b×Work. They get the following results:
In the same project as the previous question, researchers had also asked whether the respondents had active outside interests (sport, membership of associations, etc.). They created a single summary variable, 0 to mean no outside interests, 1 for those who had such interests, and added that to the regression analysis. These were the new results
Go back to the data used in the first question, and fit a regression for men and women together, with both hours and gender as independent variables. Interpret your findings, and compare them with what you found in the first question.
Note: the gender variable should have the values 0 and 1.
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