Unit 3 Project

I'm working on a statistics project and need an explanation and answer to help me learn.

Please follow the directions and read them carefully.

Quantitative Variable: IAT-Gender-Career
Categorical Variable: Assoc-Gen-Career (Choose which of these two variables is most interesting to you.)

1. IAT-Gender-Career-Score: Score on the Gender-Career IAT
2. Assoc-Gen-Career: How strongly do you associate career with males and females? 1=Strongly female; 2=Moderately female; 3=Slightly female; 4=Neither male nor female; 5=Slightly male; 6=Moderately male; 7=Strongly male

PROMPT

To respond to the following items, use the quantitative variable and JUST ONE of the categorical variables listed above. You choose which of the two categorical variables you want to analyze.

1. Use concepts from Unit 3 to describe the distribution of the quantitative variable grouped by the categorical variable. Then make comparisons and draw conclusions.
   • Make an appropriate graph and provide appropriate numerical summaries.
   • 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.
     • Below your graph, provide a key for the numerical category labels in your graph. Hint: see the category descriptions for your categorical variable in the variable descriptions list for your IAT data set above.
   • Copy and paste the StatCrunch table of numerical summaries into your response.
     • To make it easier for the reader to understand your table, replace any numerical category labels with meaningful words. Hint: see the category descriptions for your categorical variable in the variable descriptions list for your IAT data set above.
2. 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). https://www.statcrunch.com/app/index.php?dataid=37…