Variables Important To learn which variables you need to use in this project, open the drop down menu by selecting the triangle under the title for your chosen data set Gender Career IAT Variable Descriptions Open for the Gender Career variables Gender Science IAT Variable Descriptions Open for the Gender Science variables Race IAT Variable Descriptions Open for the Race variables Sexuality IAT Variable Descriptions Open for the Sexuality variables Weapons IAT Variable Descriptions Open for the Weapons variables Weight IAT Variable Descriptions Open for the weight variables Prompt (Since this is your first unit project, here's a little hint The Unit 3 Project is very similar to the Module 9 Comparing Boxplots Lab assignment, In fact, every unit project is very similar to at least one and often more than one homework or lab assignment from that unit ) To respond to the following items, use the quantitative variable and just one of the categorical variables listed above You choose which categorical variable from the list above 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 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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Variables Important: To learn which variables you need to use in this project, open the drop-down menu by selecting the triangle under the title for

Variables

Important: To learn which variables you need to use in this project, open the drop-down menu by selecting the triangle under the title for your chosen data set.

Gender-Career IAT Variable Descriptions

Open for the Gender-Career variables

Gender-Science IAT Variable Descriptions

Open for the Gender-Sciencevariables

Race IAT Variable Descriptions

Open for the Race variables

Sexuality IAT Variable Descriptions

Open for the Sexualityvariables

Weapons IAT Variable Descriptions

Open for the Weapons variables

Weight IAT Variable Descriptions

Open for theweight variables

Prompt

(Since this is your first unit project, here's a little hint. The Unit 3 Project is very similar to the Module 9: Comparing Boxplots Lab assignment, In fact, every unit project is very similar to at least one - and often more than one - "homework" or "lab" assignment from that unit.)

To respond to the following items, use the quantitative variable and just one of the categorical variables listed above. You choose which categorical variable from the list above 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.
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).