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During lectures, the instructors enjoy working with you to first interact with concepts. This fir...

During lectures, the instructors enjoy working with you to first interact with concepts. This first interaction is critical to be ready to work on homework and then engage in lab material. Thus, coming to lecture to engage in the content through iClicker Reef questions regularly will lead to extra credit points toward your HW total. You get to explore a de-identified Stats 250 dataset from a previous term with the following variables for 1812 students: (1) exam2grade = exam 2 score (out of 75 total possible points), (2) lectures_partic = the number of weeks between exam 1 and exam 2 lecture participation was received (out of 5 possible weeks). (3) partic_status = Lecture Participation Status (non-regular or regular; where regular if participated in 3 or more of the 5 weeks). The dataset is called 250exam2_participation.RData Question 6 Subquestions 6.a 0.5 point(s) One variable in your data set is "exam2grade = exam 2 score (out of 75 total possible points)". This variable is: a categorical variable. a quantitative variable. 6.b 0.5 point(s) Another variable in your data set is "partic_status = Lecture Participation Status (non-regular or regular;where regular if participated in 3 or more of the 5 weeks)". This variable is: a categorical variable. a quantitative variable. 6.c 6 point(s) One research question of interest: How does the mean exam 2 score for regular lecture participators compare to that for non-regular lecture participators? You are asked to use the data to provide a 95% confidence interval to estimate the difference in the two population means, the population mean exam 2 score for non-regular lecture participators as compared to the population mean exam 2 score for regular lecture participators. In this part, you are asked to use R/R Commander to produce: 1) numerical summaries for each partic_status group 2) side-by-side boxplots of exam 2 scores by partic_status group 3) then the pooled 95% confidence interval to estimate the difference in the two population mean scores Copy and paste in each part using the provided 1), 2), and 3) headings to clearly identify your output. 1. The numerical summaries for each partic status group: 2: Side by side boxplots of exam 2 scores by partic_status group: 3.Pooled 95% confidence interval 6.d 6 point(s) In this part, you are to use your generated results in part (c) to answer these three questions (not necessarily in the order below) in your own words ~ provide a well-written paragraph of about 3 sentences that includes appropriate values from your ourput for support to address each question: How did the two groups of students (regular lecture participators and non-regular lecture participators) compare descriptively in terms of exam 2 scores (on average, which group had higher exam 2 scores and by how much)? Provide an explanation for why it is reasonable to produce the pooled confidence interval over the general (unpooled or Welchs) interval? Based on the pooled 95% confidence interval, does it appear that the population mean exam 2 score for regular lecture participators is different from that for non-regular lecture participators at the corresponding 5% significance level? No answer entered. Click above to enter an answer. Next Top Previous

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