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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 |
- 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.
- Find the percentage of Weight IAT participants who were born female.
- Find the percentage of Weight IAT participants who indicated that they moderately or strongly prefer thin people.
- Find the percentage of Weight IAT participants who were born males who moderately or strongly prefer thin people.
- Find the percentage of Weight IAT participants who moderately prefer fat people who were born female?
- Weight IAT: Are born-male participants more likely to indicate that they strongly prefer thin people?
- 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?
- 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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