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Unformatted text preview: For questions 1 – 28, there is only one correct answer from those given. Mark your answer to each question with a pencil on the sheet provided. Ambiguous responses will be considered incorrect. For questions 29 – 36, please insert your answers in the spaces provided. You should provide all relevant working. Should you require more space, please use the reverse side of the sheet, clearly indicating to which question your response corresponds. 1. Indicate which section you are in: (a) 201 (9am class) (b) 202 (2pm class) (c) Deferred student from a previous term. 2. All human blood can be typed as one of A, O, B, or AB. Suppose that, in a very large population, 50% of people are type O, 20% are type B and 5% are type AB. I will choose one person at random from the population. What is the probability that the person’s blood is type A? (a) 0.05 (b) 0.20 (c) 0.25 (d) 0.35 (e) 0.40 1 Use the following for questions 3, 4 and 5. A consumer recorded the price of a loaf of “Di Baggio” Italian bread at her local supermarket each week in 2007. The data are presented in a histogram below: 3. The distribution displayed above would be described as bimodal. True or false? (a) True (b) False 4. Which of the following is the most likely value of the mean of the prices recorded? (a) $1.80 (b) $1.90 (c) $2.00 (d) $2.10 (e) $2.20 5. Which of the following is the most likely value of the standard deviation of the prices recorded? (a) $0.04 (b) $0.15 (c) $0.50 (d) $1.50 (e) $2.00 2 Use the four scatterplots below for questions 6 – 9. The four scatterplots below are, as labelled, respectively plots of Y1 vs X1, Y2 vs X2, Y3 vs X3 and Y4 vs X4. For each scatterplot, choose the value of the associated correlation from the five listed below. Note that you will not need to use all the five listed values, and it is possible that some values may be used more than once. (a) –0.958 (b) –0.504 (c) –0.032 (d) 0.217 (e) 0.830 6. Y1 vs X1 7. Y2 vs X2 8. Y3 vs X3 9. Y4 vs X4 3 10. Data were collected within a group of males in an athletic association in BC. Based on this dataset, a regression model was computed to predict weight Y (in kg) from height X (in cm). The model fitted was Y = 0 . 28 X + 27 . 00 . If intending to predict height from weight using the same dataset , which of the following statements most precisely describes what you can say about the appropriate regression line? (a) The slope of the regression line would be 0.28. (b) The slope of the regression line would be 27.00 (c) The slope of the regression line would be positive. (d) The slope of the regression line would be negative. (e) The slope of the regression line would be 3.57. 11. Consider sampling with replacement from a large population of people....
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This note was uploaded on 05/09/2011 for the course STAT 200 taught by Professor Karim during the Spring '08 term at UBC.
 Spring '08
 KARIM

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