Step-by-Step Instructions

Step 1: Open and Prepare Data in StatCrunch

1. Access StatCrunch:
   • Open StatCrunch from your course materials or directly online.
   • Load the IAT dataset provided for the project.
2. Familiarize Yourself with Variables:
   • Quantitative Variable:IAT-Weight-Score
   • Categorical Variable (choose one):Religiosity
   • (1 = Not at all, 2 = Slightly, 3 = Moderately, 4 = Very, 5 = Extremely)

Step 2: Make a Boxplot

We'll make a boxplot comparing the quantitative variable (IAT-Weight-Score) with the ocategorical variable (chooseReligiosity).

Steps in StatCrunch:

1. ClickGraph Boxplot.
2. Select(IAT-Weight-Score)as the quantitative variable.
3. Select Religiosity as the grouping variable.
4. Customize:
   • Add a title, such as" (IAT-Weight-Score) by Religiosity".
   • Check"Use fences to identify outliers."
5. ClickCompute to generate the boxplot.
6. Download or save the image:
   • Right-click to save or take a screenshot.

Step 3: Generate Numerical Summaries

Steps in StatCrunch:

1. ClickStat Summary Stats Columns.
2. Select (IAT-Weight-Score) as the variable to summarize.
3. Select eitherReligiosity as the grouping variable.
4. Include:
   • Mean
   • Median
   • Standard deviation
   • Minimum and Maximum
   • Quartiles (Q1, Q3)
5. ClickCompute.
6. Save or copy the table of results.

Step 4: Analyze and Interpret the Results

Use the following structure:

1. Graph Description:
   • Describe the boxplot: medians, variability (spread), and outliers.
   • Which groups show the highest/lowest IAT scores? Are there significant differences?
2. Numerical Summary Description:
   • Compare means, medians, and ranges across categories.
   • Identify patterns: Does religiosity or preference for arts correlate with higher/lower IAT scores?
3. Draw Conclusions:
   • Summarize the trends.
   • Provide a context-based interpretation: For example, "Higher religiosity levels correspond to slightly higher IAT scores, suggesting stronger implicit associations between gender and science."

Step 5: Write the Report

Sample Layout:

(IAT-Weight-Score)

Title: Analysis of IAT Scores by [Religiosity]

1. Graph:
   • Insert the boxplot with a descriptive title.
   • Include a key for the categorical variable (e.g., "Religiosity: 1 = Not at all, 2 = Slightly").
2. Numerical Summary:
   • Paste the numerical table.
   • Replace numerical category labels with descriptions.
3. Analysis:
   • Discuss the key findings from the graph and summary.
   • Highlight trends and interesting observations.
4. Conclusion:
   • Interpret what the data suggests about the relationship between the variables.
   • Use evidence to support your interpretation.
5. Self-Evaluation:
   • Reflect on your process. What worked well? What could you improve?

Step 6: Finalize