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timer Asked: Apr 11th, 2016

Question description

The overall goal of this learning activity is to create standardized (Z-) scores for several variables. In this set of learning activities you will use the Drinks.sav data file. 

1. Create standardized scores for all scale variables (price through alcohol). Which beverages have positive standardized scores on every variable? What does this mean? 

2. What is the most extreme z-score on each variable? What is the most extreme z-score across all variables? 

3. What beverage is most typical of all beverages, that is, has z-score values closest to 0 for these variables? 

4. If the variable is normally distributed, what percentage of cases should be above 1 standard deviation from the mean or below 1 standard deviation from the mean? Calculate this percentage for a couple of the variables. Is the percentage of beverages with an absolute zscore above 1 close to the theoretical value?

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?

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