In this project, we’ll use our unique IAT random samples to demonstrate what we learned in Unit 3 (Modules 7, 8, 9, & 10).
WARNING: Since this project is equivalent to an exam, I will not be able to help you. However, you can still rely on your classmates for help, and I can answer clarification questions.
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.
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
Step 1: Review the Rubric
- Before you submit your work, review the rubric at the bottom of this assignment.
- Use the rubric as a checklist to determine whether you are ready to submit your work.
Step 2: First Draft
- Commit a good-faith effort to address each item in the Prompt section below.
- Please be sure to number your responses and include “white space” between problem numbers. This improves the readability and flow of your work. I cannot give feedback and grade jumbled work.
- Use either of the following options to submit your work.
OPTION 1: You can submit a text-entry assignment (i.e. typing your answers in Canvas). To learn how to submit a text-entry assignment, use these (opens in a new tab).
OPTION 2: You can upload your paper-and-pencil work (or the digital equivalent). To learn how to upload your paper-and-pencil work, use these (opens in a new tab). WARNING – some file types may not be visible on my end. So to learn which files you can upload, be sure to use the directions link I provided for this option.
- Not ready to submit a good-faith effort yet? Avoid frustration – use the link to the Questions, Answers, & Tips discussion board (at the bottom of this page) to post questions about this assignment (or visit the discussion board to answer your classmates’ questions). You can also contact me directly (see the homepage for my contact information).
Step 3: Peek-a-Boo Review
Peer reviews are not required for Unit Projects. However, the peer review feature in Canvas is active for this project. Why? As long as you commit a good-faith effort on your first submission, you can use the peer review feature to take a peek at (and possibly learn from) your classmate’s work. Here’s how.
- Return to this assignment after the first draft is due.
- Under Assigned Peer Reviews you will see a list of names.
- Click on a name in the list to take a peek at your classmate’s work.
- If you notice that your peer has left something out or made a mistake, feel free to help your peer out and leave a comment. Or feel free to post a question for your peer. But if you prefer to learn from your peers’ work and move on without leaving a comment, you can do that as well.
After the due date, if you cannot see any names in the list, perhaps the “peek-a-boo” reviews were automatically generated before you submitted the assignment. You can send a message to me in Canvas to let me know that there are no names in the Assigned Peer Reviews list, and I will add names to your list. But please include this assignment’s name in the message!
Step 4: Write Your Self-evaluation & Submit Your Final Draft
- Write a of your work.
- Submit your final draft and include the following.
- First or last paragraph: Include your self-evaluation as the first or the last paragraph in your final draft.
- Remaining paragraph(s): Write a complete final draft. I will only grade your most recent submission, so please do not leave anything out, and please do not direct me to read an earlier submission.
- Not ready to write your final draft yet: Avoid frustration – get help. Use your self-evaluation and your peers’ feedback to identify which concepts or skills you need help with. Then use the link to the “Questions, Answers, & Tips” discussion board (bottom of this page) to seek help.
Data
From this point forward, all links in this assignment open in a new tab.
- Login and open StatCrunch ().
- Open your IAT sample data set in StatCrunch ().
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.
Race IAT Variable Descriptions
Open for the Race variables
Quantitative Variable: IAT-Race-Score
Categorical Variable (choose one): Religiosity OR Prefers (Choose one of these two variables, whichever is most interesting to you.)
Race IAT (opens in a new tab).
Weapons IAT Variable Descriptions
Open for the Weapons variables
Quantitative Variable: IAT-Weapons-Score
Categorical Variable (choose one): Weapons OR Therm-Black (Choose one of these two variables, whichever is most interesting to you.)
Weapons IAT (opens in a new tab).
Weight IAT Variable Descriptions
Open for the weight variables
Quantitative Variable: IAT-Weight-Score
Categorical Variable (choose one): Religiosity OR Prefers (Choose one of these two variables, whichever is most interesting to you.)
Weight IAT (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 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).
StatCrunch Directions
Here is a PDF document with all .
Unit 3 Project Discussion Board
Use the Unit 3 Project to ask questions or provide feedback about the project.
Content by Cuyamaca College math faculty.
Rubric
Unit 3 Project
Unit 3 Project
| Criteria |
Ratings |
Pts |
|
This criterion is linked to a Learning OutcomeQuestion 1: StatCrunchStatCrunch graphs and/or tables are correct and embedded with your work.
|
10 ptsComplete6 ptsPartial CreditA graph or table is missing/incorrect
0 ptsIncompleteNo StatCrunch information was provided OR all StatCrunch information is incorrect. |
10 pts
|
|
This criterion is linked to a Learning OutcomeQuestion 1: GraphThe graph includes a meaningful title, variable descriptions, and a key for the numerical category labels below the graph.
|
2 ptsComplete0 ptsIncomplete
|
2 pts
|
|
This criterion is linked to a Learning OutcomeQuestion 1: Summary StatisticsNumerical categories were replaces with meaningful words in the table.
|
3 ptsComplete0 ptsIncomplete
|
3 pts
|
|
This criterion is linked to a Learning OutcomeQuestion 2: ComparisonComparison correctly used percentages and descriptions of center and spread to make comparisons;
|
10 ptsComplete6 ptsPartial Credit
0 ptsIncomplete |
10 pts
|
|
This criterion is linked to a Learning OutcomeQuestion 2: DataComparison correctly used the data to support your answer to the questions What do the data suggest? and “Is a particular group from the categorical variable more likely to have a higher/lower IAT score?”
|
10 ptsComplete6 ptsPartial Credit
0 ptsIncomplete |
10 pts
|
|
This criterion is linked to a Learning OutcomeQuestion 2: ContextThe results were correctly interpreted in context.
|
10 ptsComplete6 ptsPartial credit
0 ptsIncomplete |
10 pts
|
|
This criterion is linked to a Learning OutcomeSelf-EvaluationThe final draft begins with a self-evaluation of your first draft. The self-evaluation describes how you demonstrated attainment of the learning objectives in the “Progress Check” section of the assignment, OR what you needed to correct in order to demonstrate attainment of the learning objectives.
|
5 ptsComplete3 ptsPartial CreditThe self-evaluation does not describe how you demonstrated attainment of the learning objectives in the “Progress Check” section of the assignment, or what you needed to correct in order to demonstrate attainment of the learning objectives.
0 ptsIncompleteNo self-evaluation of your first draft is included with your final draft. Or, you did not commit a good-faith effort on your first draft and therefore your self-evaluation is not applicable. |
5 pts
|
Total Points: 50