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
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?