Unit 3 Project

Description

Progress Check

Use this activity to assess whether you can:

• Use appropriate statistical data to describe a distribution.
• Create an appropriate graph to compare a quantitative variable grouped by a categorical variable.
• Recognize quartiles as the markers between four equally-sized groups within a distribution of data.
• Describe the distribution of a quantitative variable grouped by a categorical variable using percentages and descriptions of center and spread to make comparisons.
• Draw conclusions about the relationship between variables within the context of a given situation.

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Directions

WARNING: The directions for Unit Projects differ from the directions for homework and lab assignments.

Use the drop-down menu to learn about the four steps needed to complete this assignment.Four steps to complete the assignment

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Data

From this point forward, all links in this assignment open in a new tab.

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

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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 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

Weapons IAT Variable Descriptions

Open for the Weapons variables

Weight IAT Variable Descriptions

Open for the weight variables

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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.

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).