1. Locate the data set "Census.sav" and open it with SPSS. Follow the steps in section 3.9 Learning Activity as written. Answer all of the questions in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

1. Run the Frequencies procedure on the following variables: sex, wrkstat (Labor Force Status), paeduc (Father's highest degree), and satjob (Job or Housework). What is the scale of measurement for each? Request appropriate summary statistics and charts.

2. For which of these variables is it appropriate to use the median? What conclusions can you draw about the distributions of these variables?

3. What percent of respondents have a bachelor's degree, or higher? What percent of respondents are working?

4. How might you combine some of the categories of wrkstat to insure that there are a sufficient number of respondents in each category?

Locate the data set "Drinks.sav" and open it with SPSS. Follow the steps in section 4.18 Learning Activity as written. Answer questions 1-6 in the activity based on your observations of the SPSS output. Type your answers into a Word document. Copy and paste the full SPSS output including any supporting graphs and tables directly from SPSS into the Word document for submission to the instructor. The SPSS output must be submitted with the problem set answers in order to receive full credit for the assignment.

1. Run Frequencies on the variable alcohol, requesting the summary statistics median and mean, plus a histogram with a superimposed normal curve. Suppress the display of the frequency table.

2. What is the value of value of alcohol that splits the distribution in half? Is the median the same as the mean? Which value is lower? What does that tell you about the shape of the distribution of alcohol?

3. Does the histogram verify your description of the distribution of alcohol? How does it differ from a normal distribution?

4. Run Descriptives to obtain default statistics for price and calories. On which variable is there more dispersion? Is it even realistic to compare these two variables since they are on different scales?

5. Continuing your analysis of price and calories, run the Explore procedure for these two variables. Request a histogram in addition to the defaults.

6. Does the standard error of each variable help you better determine which variable has more dispersion?

7. Review the boxplots and histogram for each variable. Which one has more outliers? What are the outliers on each? Which variable now appears to have more dispersion, based on these graphs? Does that match what you expected based on the statistics?