Question: Practice Questions for Midterm Exam Chapter 2, Chapter 3, Chapter 4, and Chapter 5 Question 1: A report on a charity run in Toronto listed
Practice Questions for Midterm Exam Chapter 2, Chapter 3, Chapter 4, and Chapter 5 Question 1: A report on a charity run in Toronto listed each runner's gender, country, age, and time. Forthis data a. Identify the ?ve W's. b. Identify categorical data. c. Identify quantitative data with units. Question 2: A Consumer Reports article on energy bars gave the brand name, ?avor, price, number of calories, and grams of protein and fat. a. Identify the ?ve W's. b. Identify categorical data. c. Identify quantitative data with units. Question 3: The following data show responses to the question "What is your primary source for news?" from a sample of students at the University of Manitoba in June 2015. Internet Newspaper Internet TV Internet Newspaper TV Internet Internet TV Newspaper TV TV Newspaper TV Internet Internet Internet Internet Internet TV Internet Internet TV TV a. Identify the W's for this data. b. Is the data cross sectional or time series? Question 4: Suppose that the administration of a large urban hospital is interested in obtaining feedback from its employees regarding how their processes can be improved. For each of the following, identify the sampling method. a. There are six categories of employees (administration, physicians, nurses, medical technologists, clerical and maintenance). Randomly select twenty individuals from each category. b. Each employee has an ID number. Randomly select 150 numbers. c. Randomly select a department within the hospital (e.g., Radiology) and survey all of the employees who work in that department. Select every tenth person from the complete list of the hospital employees. e. Ask every employee who enters or leaves the hospital cafeteria how their processes can be improved. P- Question 5: A consumer advocacy group is interested in estimating perceptions about food safety Question 8: The following contingency table shows students by major and home province for a among professionals in the food industry. Specifically, they wish to determine the percentage of university in New Brunswick. professional food preparers in Canada who believe food safety has improved. They use an alphabetized list of members of the organization Chef's Collaborative and select every 10th Major Program of Study member to include in the sample. Home Biology Accounting History Education Tota a. What is the population? Province b. What is the sampling frame? NB 80 65 55 100 300 c. What is the population parameter of interest? d. What sampling method is used? AB 50 40 65 95 250 ON 75 50 45 80 250 BC 65 55 40 40 200 Question 6: A cable company surveyed its customers and asked how likely they were to watch Total 270 210 205 315 1000 more than 2 hours of TV per day. The following data show the responses Very Likely Unlikely Unlikely Very Likely a. What percentage of all students major in Accounting and come from NB? b. What percentage of all students are from AB? Likely Unlikely Likely Likely c. What percentage of all students major in Biology? Unlikely Likely d. What percentage of ON students m dents major in Education? Unlikely Likely e. What percentage of Biology students are from BC? Very Likely Unlikely Unlikely Very Likely Unlikely Unlikely Unlikely Likely Question 9: Consider the data given below on weights of trucks in tons at a weighbridge on highway 401 in Ontario. a. Prepare a frequency table for these data. b. Prepare a relative frequency table for these data. 62.5 52.0 70.5 63.0 57.0 67.0 64.0 58.5 67.5 64.5 61.0 63.5 59.5 66.0 53.0 74.5 66.0 55.5 Questin 7: A membership survey at a local gym asked whether weight loss or fitness was the 62.5 2.5 9.5 69.5 52.0 70.0 primary goal for joining. Of 200 men surveyed, 150 responded fitness and the rest responded 3.0 64.0 63.5 56.5 74.0 64.5 weight loss. Of 250 women surveyed, 175 responded weight loss and the rest responded fitness. Develop a frequency distribution and relative frequency distribution using the following bins: 50- a. Construct a contingency table. 55, 55-60, 60-65, 65-70, and 70-75 b. How many members have fitness as their primary goal for joining the gym? c. How many members have weight loss as their primary goal for joining the gym? Question 10: The data given below shows the number of customers per day purchasing a promotional product in a health food store in Guelph, Ontario, over 9 consecutive days. 10.5 19.0 21.5 15.0 27.0 20.0 12.5 22.5 18.5 a. Compute the median. b. Compute the mean. c. Compute the upper quartile, Q3 value. d. Compute the lower quartile, Q1 value. e. Compute the interquartile range, IQR. f. Compute the upper fence. 2 3
9. Compute the lower fence. h. Compute the 85'" percentile. Questlon 11: Frequency mble is given below: Blns Frequency 50 ? 55 3 55 ? 60 16 60 ? 65 2 65 ? 70 5 70 ? 75 4 a. Find the approximate mean. b. Find the approximate median Questlon 12: Ozone levels (in pans per billion, ppb) were recorded monthly at three different sites. Box plots of the dam for each month (over46 years), lined up in order (January =1): In what month was the highest ozone level ever recorded? Which month has the largest IQR? Which month has the smallest range? Write a brief comparison of the ozone levels in January and June. Write a general description of the ozone levels across the year. 9.9-9?!" Question 13: The number of orders received per day at a clothing web site in British Columbia has a mean of 1175 and a standard deviation of 250. The numberof orders received per day at a jewellery web site in Nova Scotia has a mean of 52 and a standard deviation of 15. One day the number of jewellery orders received is 97. a. Calculate the standardized value (its z-soore) of jewellery orders of the day. b. What does the z-soore tell us? c. Which value is more extreme, 97 jewellery orders or 1500 clothing orders? Explain.
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