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Question 4 of 20 0.0/ 1.0 Points Click to see additional instructions A college professor is curious if the location of a seat in class affects grades in the class. They are teaching in a lecture hall with 240 students. The lecture hall has 10 rows, so they split the rows into 5 sections – Rows 1-2, Rows 3-4, Rows 5-6, Rows 7-8, and Rows 9-10. At the end of the course, they determine the top 25% of grades in the class, and if the location of the seat makes no difference, they would expect that these top 25% of students would be equally dispersed throughout the classroom. Their observations are recorded below. Run a Goodness of Fit test to determine whether or not location has an impact on the grade. Let α=0.05. Enter the expected count for each section in the table below. Enter whole numbers without any decimals. Rows 1-2 Rows 3-4 Rows 5-6 Rows 7-8 Rows 9-10 # in Top 25% 14 8 13 10 15 Expected Counts
60/5 Question 5 of 20 1.0/ 1.0 Points The permanent residence of adults aged 18-25 in the U.S. was examined in a survey from the year 2000. The survey revealed that 27% of these adults lived alone, 32% lived with a roommate(s), and 41% lived with their parents/guardians. In 2008, during an economic recession in the country, another such survey of 1600 people revealed that 398 lived alone, 488 lived with a roommate(s), and 714 lived with their parents. Is there a significant difference in where young adults lived in 2000 versus 2008 and state the p- value? Test with a Goodness of Fit test at α=0.05. Alon e Roommat es Parents/Guardi ans Observ ed Counts 398 488 714
Expecte d Counts 432 512 656 Feedback:
Use Excel to find the p-value you have the Observed and Expected Counts you can use =CHISQ.TEST( Highlight Observed Counts, Highlight Expected Counts) = 0.011511 0.011511 < .05, Reject Ho. Yes, this is significant. Question 6 of 20 0.0/ 1.0 Points A large department store is curious about what sections of the store make the most sales. The manager has data from ten years prior that show 30% of sales come from Clothing, 25% Home Appliances, 18% Housewares, 13% Cosmetics, 12% Jewelry, and 2% Other. In a random sample of 550 current sales, 188 came from Clothing, 153 Home Appliances, 83 Housewares, 54 Cosmetics, 61 Jewelry, and 11 Other. At α=0.10, can the manager conclude that the distribution of sales among the departments has changed?
B. no, because the p-value is .0006 C. yes because the p-value = .0321 D. no, because the p-value = .0321 Answer Key:C Feedback: Clothing Home App. Housewares Cosmetics Jewelry Other Observed Counts 188 153 83 54 61 11 Expected Counts 550*.30 = 165 550*.25 = 137.5 550*.18 = 99 550*.13 = 71.5 550*.12 = 66 550*.02= 11 Use Excel to find the p-value =CHISQ.TEST(Highlight Observed, Highlight Expected) The p-value is < .10, Reject Ho. Yes, this is significant.

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