The report ?The 2016 Inside Higher Ed Survey of Faculty Attitudes on Technology? (insidehighered.com /booklet/2016-survey-faculty-attitudes-technology, retrieved December 14, 2016) describes the results of a survey of 1129 full-time college faculty and 293 part-time college faculty. Survey participants were asked if they require undergraduate students to submit papers through plagiarism-detection software; 40% of the full-time faculty and 38% of the part-time faculty said ?yes.? Notice that the sample sizes for the two groups?full-time college faculty and parttime college faculty?are large enough to satisfy the conditions for a large-sample test and a large sample confidence interval for a difference in two population proportions. Even though the sample sizes are large, simulation-based methods can still be used.

a. Use the output at the bottom of the page from the Shiny app ?Randomization Test for Two Proportions? to carry out a randomization test to determine if the proportion who require students to submit papers through plagiarism-detection software is different for full-time faculty and part-time faculty.

b. Use the output at the top of the page from the Shiny app ?Bootstrap Confidence Interval for Difference in Two Proportions? to identify a 95% confidence interval for the difference in the population proportions of full-time college faculty and part-time college faculty who require students to submit papers through plagiarismdetection software. Interpret the confidence interval in context.

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Randomization Distribution 100 50 0.1 -0.05 0.05 Difference in Simulated Sample Proportions Observed Difference in Sample Proportions Standard Error P-Value #of Simulated Samples # of Values in Tail 1000 502 0.022 0.034 0.502 Frequency Bootstrap Distribution 100 50 -0.06 -0.04 -0.02 0.02 0.04 0.06 0.08 0.1 0.12 Difference in Simulated Sample Proportions Observed Difference in Sample Standard Lower Upper Conf # of Bootstrap Proportions Error Bound Bound Level Samples 0.022 0.031 -0.037 0.080 95% 1000 Frequency