Vermont-based Green Mountain Coffee Roasters dominates the market for single-serve coffee in the United States, with its subsidiary Keurig accounting for approximately 85% of sales (Rivals Try to Loosen Keurig's Grip on Single-Serve Coffee Market," Chicago Tribune, February 26, 2011). But Keurig's patent on K-cups, the plastic pods used to brew the coffee, is expected to expire this year, allowing other companies to better compete. Suppose a potential competitor has been conducting blind taste tests on its blend and finds that 54% of consumers strongly prefer its French Roast to that of Green Mountain Coffee Roasters. After tweaking its recipe, the competitor conducts a test with 158 tasters, of which 87 prefer its blend. The competitor claims that its new blend is preferred by more than 54% of consumers to Green Mountain Coffee Roasters' French Roast. What is the value of the appropriate test statistic to test this claim? Multiple Choice O O z = 0.28 2-196 2-144 2-0.28

Intermediate Algebra
19th Edition
ISBN:9780998625720
Author:Lynn Marecek
Publisher:Lynn Marecek
Chapter12: Sequences, Series And Binomial Theorem
Section12.3: Geometric Sequences And Series
Problem 12.58TI: What is the total effect on the economy of a government tax rebate of $500 to each household in...
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Vermont-based Green Mountain Coffee Roasters dominates the market for single-serve coffee in the United States, with its
subsidiary Keurig accounting for approximately 85% of sales (Rivals Try to Loosen Keurig's Grip on Single-Serve Coffee Market,"
Chicago Tribune, February 26, 2011). But Keurig's patent on K-cups, the plastic pods used to brew the coffee, is expected to
expire this year, allowing other companies to better compete. Suppose a potential competitor has been conducting blind taste
tests on its blend and finds that 54% of consumers strongly prefer its French Roast to that of Green Mountain Coffee Roasters.
After tweaking its recipe, the competitor conducts a test with 158 tasters, of which 87 prefer its blend. The competitor claims that
its new blend is preferred by more than 54% of consumers to Green Mountain Coffee Roasters' French Roast. What is the value
of the appropriate test statistic to test this claim?
Multiple Choice
O
O
O
z = 0.28
2 196
2 = -144
2 -0.28
Transcribed Image Text:Vermont-based Green Mountain Coffee Roasters dominates the market for single-serve coffee in the United States, with its subsidiary Keurig accounting for approximately 85% of sales (Rivals Try to Loosen Keurig's Grip on Single-Serve Coffee Market," Chicago Tribune, February 26, 2011). But Keurig's patent on K-cups, the plastic pods used to brew the coffee, is expected to expire this year, allowing other companies to better compete. Suppose a potential competitor has been conducting blind taste tests on its blend and finds that 54% of consumers strongly prefer its French Roast to that of Green Mountain Coffee Roasters. After tweaking its recipe, the competitor conducts a test with 158 tasters, of which 87 prefer its blend. The competitor claims that its new blend is preferred by more than 54% of consumers to Green Mountain Coffee Roasters' French Roast. What is the value of the appropriate test statistic to test this claim? Multiple Choice O O O z = 0.28 2 196 2 = -144 2 -0.28
An advertisement for a popular weight-loss clinic suggests that participants in its new diet program lose, on average, more than
9 pounds. A consumer activist decides to test the authenticity of the claim. She follows the progress of 23 women who recently
joined the weight-reduction program. She calculates the mean weight loss of these participants as 9.8 pounds with a standard
deviation of 2.0 pounds. The test statistic for this hypothesis would be
Multiple Choice
+22=1918
Z=-1.918
Ot22=-1.918
2 1918
Transcribed Image Text:An advertisement for a popular weight-loss clinic suggests that participants in its new diet program lose, on average, more than 9 pounds. A consumer activist decides to test the authenticity of the claim. She follows the progress of 23 women who recently joined the weight-reduction program. She calculates the mean weight loss of these participants as 9.8 pounds with a standard deviation of 2.0 pounds. The test statistic for this hypothesis would be Multiple Choice +22=1918 Z=-1.918 Ot22=-1.918 2 1918
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