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Chrome File View History Bookmarks Profiles Tab Window Help 2 1 4 7 9 8 0 Sat Oct 15 10:31 PM ... NKU Home Page:
Chrome File View History Bookmarks Profiles Tab Window Help 2 1 4 7 9 8 0 Sat Oct 15 10:31 PM ... NKU Home Page: Northern Ken X Learning Check 6 X + C nku.instructure.com/courses/54066/assignments/923090?module_item_id=2344913 NU 2022 Fall Learning Check 6 At Start Assignment Home Announcements Account Due Sunday by 11:59pm Points 10 Submitting a file upload File Types pdf Attempts 0 Allowed Attempts 1 Assignments Available Oct 12 at 11:30am - Oct 17 at 12:30am Dashboard Quizzes First Attempt: An instructor was interested in studying the impact seating choice had on one's likelihood of reporting cheating. A sample of 236 students was selected. Grades Each self-reported whether they would report someone for cheating (yeso) and their seat location in the classroom (front, middle, back). The data is summarized in the Courses contingency table below Modules Pages Calendar No Yes Total Discussions B 40 7 47 Inbox Office 365 F 41 11 52 M 130 7 137 History Total 211 25 236 Help Statistic DF Value P-value Chi-square 2 11.390866 0.0034 1. What percentage of students responded they would report someone for cheating? 2. How many students who sit in the back of the room do we expect to respond they would report someone for cheating if there is no relationship between seat location and the likelihood of reporting cheating? 3. Compute the chi-square contribution for students who sit in the back of the room and who would report someone for cheating. 4. Conduct the appropriate test to determine if there is a relationship between seat location and the likelihood of reporting cheating. Use a significance level of 0.01. 5. What percentage of samples selected will result in a Type | error? This question is not graded, but it's really good practice: Use the data in the contingency table to construct a side-by-side bar graph. The variable along the horizontal axis should be the seat location, and the height of the bar corresponds to the percentage of students in that location who wouldot report cheating. Explain how the bar graph constructed supports the decision made in the hypothesis test. Previous Next K 2 OCT 15
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