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Contingency table results: Rows: Sample(Birth-Gender) Columns: Sample(Prefers) Strong Prefer for fat people Moderate Prefer for fat people Slight Prefer for fat people Likes thin and

Contingency table results:

Rows: Sample(Birth-Gender) Columns: Sample(Prefers)

Strong Prefer for fat people Moderate Prefer for fat people Slight Prefer for fat people Likes thin and fat people equally Slight prefer for thin people Moderate prefer for thin people Strong prefer for thin people Total
Male 1 3 2 113 90 56 23 288
Female 1 13 33 366 165 99 35 712
Total 2 16 35 479 255 155 58 1000
  1. For each of the following percentage questions, copy the question for your IAT data set and paste it into the textbox. Then find the indicated percentage. Write each percent as a ratio (e.g. 25 out of 40) and as a percentage (e.g. 25/40 = 62.5%). Then interpret the percentage in a sentence.
    1. Find the percentage of Weight IAT participants who were born female.
    2. Find the percentage of Weight IAT participants who indicated that they moderately or strongly prefer thin people.
    3. Find the percentage of Weight IAT participants who were born males who moderately or strongly prefer thin people.
    4. Find the percentage of Weight IAT participants who moderately prefer fat people who were born female?
  2. Weight IAT: Are born-male participants more likely to indicate that they strongly prefer thin people?
  3. Does your unique data set contain any continuous random variables? If so, give an example and explain why the variable is a continuous random variable. If not, explain why not?
  4. Does your unique data set contain any discrete random variables? If so, give an example and explain why the variable is a discreterandom variable. If not, explain why not?

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