I really need help with this assignment. I chose the Assoc-Gen-Career score for my categorical variable. I provided the graph below, I did a dot plot but not sure if I should have done a histogram or box plot because it told me to “Make an appropriate graph”. Let me know if you need any other information. Thank you!

Gender-Career IAT Variables

Quantitative Variable: *IAT-Gender-Career*

Categorical Variable (choose one): *Religiosity* OR *Assoc-Gen-Career* (Choose which of these two variables is most interesting to you.)

__These are the Variables for the graph:__

- 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 (Categorical Variable)
- IAT-Gender-Career-Score: Score on the Gender-Career IAT (Quantitative Varible)

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.

- 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.

- 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

- 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).

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