Introduction

1. Briefly introduce your report, indicating what you will examine and what you expect to find.
   Sampling
2. Define the population of interest, available sample, sample size, and sampling method – that, is to whom will you generalize, based on what group and how many of them, and how were the latter selected?
3. Comment on any strengths or weaknesses of the sample for your study, including the sample size, any biases you might suspect, any advantages or disadvantages of the sampling procedure, and anything you would change about that procedure.
   Variables
4. For each variable you selected, what is the variable name, variable label, value labels (if appropriate), and level of measurement? Noting any changes introduced in recoding.
5. How might each variable indicate something about the claim you selected to investigate?
   Distributions
6. Compute a frequency distribution and histogram for each variable.
7. State the minimum, maximum, and modes for each variable you have selected.
8. What shape is each distribution (e.g. unimodal, bimodal, uniform, or something else)?
9. Is the distribution bell-shaped or skewed (and, if the latter, which way?)
10. Why does the distribution have the shape it has? (You do not have to be right, just statistically plausible. Consider level of measurement and what’s being measured.)
11. What does the shape of this data tell you about the characteristic you’re studying?
    Central Tendency
12. Report and interpret all appropriate measures of central tendency for each variable. Explain what each means and the method by which it is determined.
13. State which measure of central tendency is "best" for each variable, and explain why.
14. What does the central tendency of the data say about the characteristic(s) you’re studying?
    Dispersion
15. Report and interpret all appropriate measures of dispersion for each variable. Explain what each
    means and the method by which it is determined.
16. State which of these measures is "best" for each variable, and explain why.
17. What does the dispersion of this data tell you about the characteristic you’re studying?
    Tails & Outliers
18. If the tails are "straggly" when any observations are more than 1.5 x IQR above the 75th percentile or below the 25th, does your interval variable have straggly tails?
19. If the values in these tails are called "outliers" and "extreme values", what values are outliers in your data, if any? If there are, how might they have affected your answers above?
    Conclusions
    Summarize what you have said in answering the previous questions:
20. What does your analysis suggest about the UCLA student’s claims?
21. Does any of the data in your study support or discredit those generalizations?
22. Is your data consistent, or do some support the generalization and others contradict it?

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