Exam 21: Critical Thinking About Research

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Refer to the information provided in Table 21.1 below to answer the questions that follow. Table 21.1 Refer to the information provided in Table 21.1 below to answer the questions that follow. Table 21.1    A study to determine the effect that the weight of an average 6 ft. tall man has on the incidence of Type 2 diabetes was conducted in a small town. The six participants and their corresponding weights are listed in the table. -Related to the Economics in Practice on p. 405: Refer to Table 21.1. When using regression discontinuity, if this study had a threshold of 200 pounds, the outcomes of which individuals would be compared? A study to determine the effect that the weight of an average 6 ft. tall man has on the incidence of Type 2 diabetes was conducted in a small town. The six participants and their corresponding weights are listed in the table. -Related to the Economics in Practice on p. 405: Refer to Table 21.1. When using regression discontinuity, if this study had a threshold of 200 pounds, the outcomes of which individuals would be compared?

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Refer to the information provided in Scenario 21.4 below to answer the questions that follow. SCENARIO 21.4: In a randomized 1-year trial of 400 Mr. Lincoln hybrid tea rose bushes with rose rosette disease, 200 are slated to receive only a sulphur treatment (we will call this Group A), and the other 200 are slated to receive the sulphur treatment and an additional neem oil treatment 4 months later (we will call this Group B). Assume that the neem oil treatment is ineffective in treating rose rosette disease, so on average, the same proportion of rose bushes in each group will die of the disease. In Group B, 25 of the 200 rose bushes die in the 4-month period leading up to the neem oil treatment. Of the 175 bushes left, 25 die in the 8 months following the neem oil treatment. Since we know the neem oil treatment is ineffective, the rose bushes in Group A will, on average, suffer the same fate as those in Group B, with 25 bushes dying in the first 4 months and another 25 dying in the following 8 months. -Related to the Economics in Practice on p. 404: Refer to Scenario 21.4. For Group A, what is the rate of death due to rose rosette disease?

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Tatiana observes that all of her friends who have more than five tattoos also have more than five body piercings, and concludes that getting multiple tattoos makes people also get multiple piercings. Tatiana is

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Refer to the information provided in Scenario 21.4 below to answer the questions that follow. SCENARIO 21.4: In a randomized 1-year trial of 400 Mr. Lincoln hybrid tea rose bushes with rose rosette disease, 200 are slated to receive only a sulphur treatment (we will call this Group A), and the other 200 are slated to receive the sulphur treatment and an additional neem oil treatment 4 months later (we will call this Group B). Assume that the neem oil treatment is ineffective in treating rose rosette disease, so on average, the same proportion of rose bushes in each group will die of the disease. In Group B, 25 of the 200 rose bushes die in the 4-month period leading up to the neem oil treatment. Of the 175 bushes left, 25 die in the 8 months following the neem oil treatment. Since we know the neem oil treatment is ineffective, the rose bushes in Group A will, on average, suffer the same fate as those in Group B, with 25 bushes dying in the first 4 months and another 25 dying in the following 8 months. -Related to the Economics in Practice on p. 404: Refer to Scenario 21.4. If we limit the analysis in Group B to only those rose bushes which received the neem oil treatment, what is the rate of death due to rose rosette disease?

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Refer to the information provided in Table 21.4 below to answer the questions that follow. Table 21.4 Refer to the information provided in Table 21.4 below to answer the questions that follow. Table 21.4    -Refer to Table 21.4. Which of the following consumption functions best fits the values in the table? -Refer to Table 21.4. Which of the following consumption functions best fits the values in the table?

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