Learning Goal: I’m working on a statistics discussion question and need the explanation and answer to help me learn.
We’ll describe the distribution of the quantitative variable grouped by the categorical variable. Then we’ll make comparisons and draw conclusions.
- Make an appropriate graph and provide a table of appropriate numerical summaries.
- Use StatCrunch to make side-by-side (or stacked) boxplots for the quantitative variable grouped by the categorical variable. (directions).
- Embed your StatCrunch graph in your response, and be sure to include the Alt Text. Complete each of the following to make the graph more meaningful to the reader.
- Include a meaningful title above your graph.
- Underneath your graph, describe the variables represented in the graph.
- You’ll notice that there are numbers on the axis representing the categorical variable. These numbers are actually the group labels for the categorical variable. You’ll need to let the reader know which numbers represent which categories (groups). Below your graph, provide a key for the numerical labels in your graph. Hint: see the category (group) descriptions for the categorical variable in the variable descriptions list for your IAT data set above.
- Use StatCrunch to make one table of the five-number summaries for the groups of the categorical variable. (directions)
- Copy and paste the StatCrunch table of numerical summaries into your response.
- Again, the numbers in the first column of your table represent the groups of your categorical variable. The reader will not know what these numbers mean! To make it easier for the reader to understand your table, replace the numerical category labels in the first column with meaningful words. Hint: see the category descriptions for the categorical variable in the variable descriptions list for your IAT data set above.
- Choose two or three groups of the categorical variable that are most interesting to compare. Then use percentages and descriptions of center and spread to make comparisons. What do the data suggest? For example, is a particular group from the categorical variable more likely to have a higher/lower IAT score?
- Use the data to support your answer.
- Interpret the result in context. Hint: to learn how to interpret the IAT score, see the variable descriptions link for your IAT data set (included in the Variables section above).
Summary statistics for Sample(Sample(Weight)):
Group by: Sample(Sample(Birth-Gender))
Sample(Sample(Birth-Gender)) n Mean Median Q1 Q3 1 200 30.1 29 24 34 2 500 24.262 22 18 28 
-
Summary statistics for Sample(Sample(Weight)):
Group by: Sample(Sample(Birth-Gender))
Sample(Sample(Birth-Gender)) n Mean Median Q1 Q3 1 200 30.1 29 24 34 2 500 24.262 22 18 28
Requirements: not too long