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1. Sony would like to test the hypothesis that the average age of a Playstation user is different from the average age of an Xbox
1. Sony would like to test the hypothesis that the average age of a Playstation user is different from the average age of an Xbox user. A random sample of 36 PlayStation users had an average age of 34.2 years while a random sample of 30 Xbox users had an average age of 32.7 years. Assume that the population standard deviation for the age of PlayStation and Xbox users is 3.9 and 4.0 years. respectively. Sony would like to set a = 0.10. If Population 1 is defined as PlayStation users and Population 2 is defined as Xbox users, the correct hypothesis statement for this hypothesis test would be HO: p1 s p2 ; H1: H1 > /2 HO: p1 2 2 ; H1: p1 p2 8. Expedia would like to test the hypothesis that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. The following data summarizes the sample statistics for roundtrip flights originating in both cities. Assume that the population variances are equal. Originating City Philadelphia Paris Sample mean $1,240 $1.060 Sample size 15 19 Sample standard deviation $270 $240 If Population 1 is defined as flights originating in Philadelphia and Population 2 is defined as flights originating in Paris, the degrees of freedom for this hypothesis test are O 28 32 33 3413. Expedia would like to test the hypothesis that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. The following data summarizes the sample statistics for roundtrip flights originating in both cities. Assume that the population variances are equal. Originating City Philadelphia Paris Sample mean $1,240 $1.060 Sample size 15 19 Sample standard deviation $270 $240 If Population 1 is defined as flights originating in Philadelphia and Population 2 is defined as flights originating in Paris, the p-value for this hypothesis test would be between_ 0.005 and 0.01 O 0.01 and 0.025 O 0.025 and 0.05 O 0.05 and 0.10 14. Expedia would like to test the hypothesis that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. The following data summarizes the sample statistics for roundtrip flights originating in both cities. Assume that the population variances are equal. Originating City Philadelphia Paris Sample mean $1,240 $1.060 Sample size 15 19 Sample standard deviation $270 $240 If Population 1 is defined as flights originating in Philadelphia and Population 2 is defined as flights originating in Paris, and using a = 0.05, which one of the following statements is true? Because the p-value is greater than a, Expedia cannot conclude that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. O Because the p-value is greater than a, Expedia can conclude that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. O Because the p-value is less than a, Expedia can conclude that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris. O Because the p-value is less than a, Expedia cannot conclude that the average roundtrip airfare between Philadelphia and Paris is higher for a flight originating in Philadelphia when compared to a flight originating in Paris
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