Title ragraph Styles Rows: Sample (Birth-Gender) Columns: Sample (Prefers) Strong Moderates Slightly Neutral Slightly Moderates strong Total prefer prefer prefers prefers prefers thin prefers fat thin fat fat thin male 62 48 20 167 female 6 267 133 78 18 533 Total 7 30 329 181 111 38 700 Birth Gender Vs Prefer 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. a. Find the percentage of Weight LAT participants who were born female. b. Find the percentage of Weight LAT participants who indicated that they moderately or strongly prefer thin people. Find the percentage of Weight LAT participants who were born males who moderately or strongly prefer thin people. d. Find the percentage of Weight LAT participants who moderately prefer fat people who were born female? 2. Are born-male participants more likely to indicate that they strongly prefer thin people? 3. Use the Weight LAT variable descriptions (opens in a new tab link to peruse the variables in your chosen IAT data set. 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 . Use the Weight LAT variable descriptions (opens in a new tab) link to peruse the variables in your chosen LAT data set. Does your unique data set contain any discrete random variables? If so. give an example and explain why the variable is a discrete random variable. If not, explain why not