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4. Compute and report the mean of the bootstrap distribution. 5. Explain why the mean of the sampling distribution is close to the sample percentage

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4. Compute and report the mean of the bootstrap distribution. 5. Explain why the mean of the sampling distribution is close to the sample percentage (what you calculated in Question 1). Be sure to refer to both the model you included in your TinkerPlots sampler and the sampling process in your response. (2pts) 5. Compute and report the margin of error. 7. Compute and report the endpoints of the compatibility interval. Show your work for full credit. 8. Answer the research question posed at the beginning of the assignment. Use evidence from the bootstrap analysis to support your answer. Comment on the level of external validity for your answer. (Zpts) Interpretation 9. Albert Hoffman's best friend, Randy Shiefer, who studies interpersonal relationships at the University of Minnesota (U of M), conducted a survey of 100 U of M students and found that the sample percentage of U of M students that phub was identical to the sample percentage you computed in Question #1. If Randy were to carry out a bootstrap simulation and produce a compatibility interval based on the U of M data, how would his interval compare to the interval you computed in Question #7? Explain. (2pts) 10. It turns out that the survey study at the U of M sampled students from a single student residence hall. Explain why sampling students from a single residence hall would have an impact on the external validity of the study. (2pts) 11. Does sampling students from a single student residence hall have an impact on the amount of uncertainty (range of the compatibility interval) computed in the bootstrap interval? Explain

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