One sample proportion confidence interval: Outcomes in : Sample(Prefers) Success : 2 p : Proportion of successes Method: Standard-Wald 95% confidence interval results:

Variable	Count	Total	Sample Prop.	Std. Err.	L. Limit	U. Limit
Sample(Prefers)	16	1000	0.016	0.003967871	0.0082231158	0.023776884

1. Use StatCrunch to find the 95% confidence interval that estimates the population proportion of Weight IAT participants who indicate that they like thin people and fat people equally
2. Identify the sample proportion (p^) in the output table. Then determine whether conditions are met for using the confidence interval to estimate the population proportion of participants in your chosen IAT. (Be sure to support your answer as demonstrated in Units 6 and 7.)
3. If conditions are met, estimate the population proportion of participants in your particular IAT, and state your conclusion in context. If conditions are not met, explain what a researcher could do so that conditions are met.
4. Based on your analysis, do you think the population of participants in your chosen IAT is representative of the U.S. population? Explain.

Weight IAT Variables

1. 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 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