Data

All directions in this assignment open in a new tab.

Login and open StatCrunch (directions).

• Open your IAT sample data set in StatCrunch (directions).

Variables

Important: To learn which variables you need to use in this project, see the IAT section below for your data set.

Gender-Career IAT Variables

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

• Gender-Career IAT variable descriptions  (opens in a new tab).

Gender-Science IAT Variables

Quantitative Variable: IAT-Gender-Science-Score
Categorical Variable (choose one): Religiosity  OR  Arts (Choose which of these two variables is most interesting to you.)

Gender-Science IAT variable descriptions  (opens in a new tab).

Race IAT Variables

• Quantitative Variable: IAT-Race-Score
  Categorical Variable (choose one): Religiosity  OR  Prefers (Choose which of these two variables is most interesting to you.)

Race IAT variable descriptions (opens in a new tab).

Sexuality IAT Variables

Quantitative Variable: IAT-Sexuality-Score
Categorical Variable (choose one): Religiosity  OR  Prefers (Choose which of these two variables is most interesting to you.)

Sexuality IAT variable descriptions  (opens in a new tab).

Weapons IAT Variables

Quantitative Variable: IAT-Weapons-Score
Categorical Variable (choose one): Weapons  OR  Therm-Black (Choose which of these two variables is most interesting to you.)

Weapons IAT variable descriptions (opens in a new tab).

Weight IAT Variables

Quantitative Variable: IAT-Weight-Score
Categorical Variable (choose one): Religiosity  OR  Prefers (Choose which of these two variables is most interesting to you.)

Weight IAT variable descriptions (opens in a new tab).

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 (groupwork 2)” assignment, In fact, every unit project is very similar to at least one, but likely more than one, peer-reviewed assignments 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 that 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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