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Use this activity to assess whether you and your peers can:

• Use StatCrunch to find a one-sample T-interval to estimate a population mean.
• Interpret a confidence interval in context.
• Use a confidence interval to find the margin of error (MOE).
• Identify which of two confidence intervals is more accurate.
• Identify which of two confidence intervals is more precise
• Open your IAT sample data set in StatCrunch

• Project Implicit – Weight IAT Variables

  Interpreting the Weight IAT

  The Weight IAT measures implicit biases related to body type.

  • More positive scores on the Weight IAT mean: A stronger association between fat and bad AND thin and good.
  • More negative scores on the Weight IAT mean: A stronger association between fat and good OR thin and bad.

  Weight IAT Variables

  For clarification, some of the variables listed below include the question that was posed to the IAT participants. Others do not include the question.

  1. Age: Approximate age (in years) at time of IAT exam
  2. Birth-Gender: 1=Male; 2=Female
  3. Gender-ID: 1=Male; 2=Female; 3=Trans male/Trans man; 4=Trans female/Trans woman; 5=Genderqueer/Gender nonconforming; 6=A different identity; 7=Multiple genders
  4. Ethnicity: 1=Hispanic or Latinx; 2=Not Hispanic or Latinx; 3=Unknown
  5. Race: 1=American Indian/Alaska Native; 2=East Asian; 3=South Asian; 4=Native Hawaiian or other Pacific Islander; 5=Black or African American; 6=White; 7=Other or Unknown; 8=Multiracial
  6. Education: Highest education level: 1=elementary school; 2=junior high; 3=some high school; 4=high school graduate; 5=some college; 6=associate’s degree; 7=bachelor’s degree; 8=some graduate school; 9=master’s degree; 10=J.D.; 11=M.D.; 12=Ph.D.; 13=other advanced degree; 14=M.B.A.
  7. Political-ID: 1=strongly conservative; 2=moderately conservative; 3=slightly conservative; 4=neutral; 5=slightly liberal; 6=moderately liberal; 7=strongly liberal
  8. Religiosity: 1=Not at all; 2=Slightly; 3=Moderately; 4=Very; 5=Extremely
  9. IAT-Weight-Score: Score on the Weight IAT
  10. Prefers: Subject reports: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
  11. Most-Prefer: Subject’s perception of what most people prefer: 1=Strong preference for fat people; 2=Moderate preference for fat people; 3=Slight preference for fat people; 4=Likes thin people and fat people equally; 5=Slight preference for thin people; 6=Moderate preference for thin people; 7=Strong preference for thin people
  12. Weight: Reported weight to the nearest 5 pounds
  13. Height: Reported height to the nearest inch
  14. Body-Image: Subject’s reported body image: 1=Very underweight; 2=Moderately underweight; 3=Slightly underweight; 4=Neither underweight nor overweight; 5=Slightly overweight; 6=Moderately overweight; 7=Very overweight
  15. Important: Importance of weight to subject’s sense of self: 1=Not at all important; 2=Moderately unimportant; 3=Somewhat unimportant; 4=Neither unimportant nor important; 5=Somewhat important; 6=Moderately important; 7=Very important

  16. Prompt

      You are tasked with using StatCrunch and your unique IAT sample to estimate the population mean for your IAT-Score variable.

      Question 1

      1. Use StatCrunch and your unique IAT sample to estimate the mean IAT-Score for the population of IAT participants at the 80% confidence level (directions). Copy the contents of your StatCrunch output window and paste it into your response.
      2. Identify the 80% confidence interval.
      3. Interpret your confidence interval in context.
      4. Can we use the StatCrunch output to find the margin of error (MOE)? If so, what is the MOE? If not, identify the missing information.

      Question 2

      1. Use StatCrunch and your unique IAT sample to estimate the mean IAT-Score for the population of IAT participants at the 95% confidence level (directions). Copy the contents of your StatCrunch output window and paste it into your response.
      2. Identify the 95% confidence interval.
      3. Interpret your confidence interval in context.
      4. Can we use the StatCrunch output to find the margin of error (MOE)? If so, what is the MOE? If not, identify the missing information.

      Question 3

      1. Which of the two confidence intervals is more accurate? Briefly explain.
      2. Which of the two confidence intervals is more precise? Briefly explain.