There are many instructions in this assignment. It’s similar to a comprehensive exam that covers a representative sample of some of the most important statistical procedures you’ve learned.
Given that there are so many instructions, please read carefully. I welcome questions, but it wastes your time if you email questions that are answered here (or can be answered with a quick Google search).
1. Download and open “Week 15 Homework Dataset – Grand Tamale.sav” in SPSS.
2. Learn about the variables by studying them in the variable view. Assume the data were obtained from 100 teenagers who just graduated from a Midwestern high school last week, and may have partied hard over the last few days. Don’t let the name of the data file fool you. The study has nothing to do with Mexican cuisine, but did require a lot of different variables to be wrapped into one dataset.
3. Watch this video first to refresh your memory for running the types of analyses needed for this homework assignment: https://youtu.be/dGeZgwBDqkk
Let’s Begin!
4. There are two variables that need to be cleaned.
a. List the two variables here:
b. Clean the data. How did you know these variables needed to be cleaned? Describe how you cleaned the data. **SAVE THE CLEANED DATASET**
5. Run histograms on every single variable in the data set.
a. Yes, some of the variable distributions are weird, and a shockingly high number of these Midwestern kids have been charged with crimes. But let’s focus on skewness for a moment. If you were giving out awards to variables in this data set, which variable would be most deserving for the Most Positively Skewed Award?
b. While answering the above question, you probably spotted a conspicuous outlier in the histogram of the most positively skewed variable. Please run descriptive statistics (that include the minimum and maximum hint, hint) on the most positively skewed variable. What is the exact value of the most conspicuous outlier on that variable?
c. Don’t worry, we’ll be ignoring the most positively skewed variable from now on. So we don’t need to do anything with that outlier other than recognize that it’s there.
6. It’s now time to run an independent-samples t-test. Your independent variable is EverChargedCrime. Your dependent variable is Happy2. (For all your analyses here, be careful to choose the right variables.) To compute the Cohen’s d effect size statistic, please use https://www.easycalculation.com/statistics/effect-size-t-test.php. (It is not necessary to report a Pearson correlation for the effect size statistic if you report a Cohen’s d instead.) Now please type up the results of your independent-samples t-test in the first box below.
a. You should leave the purple font “turned on” in the box below.
b. Whether or not your t-test is statistically significant, you should refer to the Week 6 homework sheet. The Week 6 homework sheet will remind you to use easy-to-understand names for your variables when writing up results, to round to two decimal places (unless rounding would change the meaning of the result), to include all of the necessary information (understandable names for the variables, SD, t, df, p, and all the rest) in your paragraph, to italicize correctly, to check the Levene’s test first, etc.
c. If the difference you observe between the two groups is not statistically significant, you can use wording like this: “The ___ group (M = __, SD = __) … and the ___ group (M = __, SD = __)… did not significantly differ, t…”
d. Caution: It’s hard to record everything accurately, and to interpret the results correctly, when you’re typing from scratch. But it’s also good practice for a thesis or research report. Please check everything often, as good statisticians do.
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