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05 can we conclude that there has been a significant

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Unformatted text preview: from one hospital produce a mean of 18.3 minutes. The 50 randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume a σa = 2.1 minutes and σb = 2.92 minutes. Setup the null hypothesis to determine if there is a difference in the mean waiting time between the two hospitals. A. µa - µb = 0 B. µa - µb ≠ 0 C. µa - µb > 0 D. µa - µb < 0 122. Two hospital emergency rooms use different procedures for triage of their patients. We want to test the claim that the mean waiting time of patients is the same for both hospitals. The 40 randomly selected subjects from one hospital produce a mean of 18.3 minutes. The 50 randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume a σa = 2.1 minutes and σb = 2.92 minutes. Calculate the test statistic for testing these hypothesis. A. -21.05 B. -24.97 C. -13.24 D. -18.49 123. Two hospital emergency rooms use different procedures for triage of their patients. We want to test the claim that the mean waiting time of patients is the same for both hospitals. The 40 randomly selected subjects from one hospital produce a mean of 18.3 minutes. The 50 randomly selected patients from the other hospital produce a mean of 25.31 minutes. Assume a σa = 2.1 minutes and σb = 2.92 minutes. What do you conclude about the waiting time for patients in the two hospitals testing at α = .001? A. There is a significant difference in waiting times B. There is no significant difference in waiting times 1-851 Chapter 01 - An Introduction to Business Statistics 124. A test of spelling ability is given to a random sample of 10 students before and after they completed a spelling course. The mean score before the course was 119.60 and after the course the mean score was 130.80. The standard deviation of the difference was 16.061. Calculate the test statistic to test the claim. A. 2.21 B. 0.697 C. 2.09 D. 6.97 125. A test of spelling ability is given to a random sample of 10 students before and after they completed a spelling course. The mean score before the course was 119.60 and after the course the mean score was 130.80. The standard deviation of the difference was 16.061. Test the hypothesis at = .05 A. Reject H0 B. Fail to reject H0 126. A test of spelling ability is given to a random sample of 10 students before and after they completed a spelling course. The mean score before the course was 119.60 and after the course the mean score was 130.80. The standard deviation of the difference was 16.061. Calculate a 99% confidence interval. A. (-3.13 25.53) B. (6.12 16.28) C. (-1.88 24.28) D. (-5.31 27.71) 127. A test of spelling ability is given to a random sample of 10 students before and after they completed a spelling course. The mean score before the course was 119.60 and after the course the mean score was 130.80. The standard deviation of the difference was 16.061. What do you conclude at α = .01? A. No evidence of a difference B. Significant difference in the scores 1-852 Chapter 01 - An Introduction to Business Statistics 128. A coffee shop franchise owner is looking at two possible locations for a new shop. To help make a decision he looks at the number of pedestrians that go by each of the two locations in one-hour segments. At location A, counts are taken for 35 one-hour units and with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the second location (B), counts are taken for 50 one hour units with a mean number of pedestrians of 347 and a sample standard deviation of 85. Assume the two populations variances are not known but are equal. Calculate the pooled estimate of . A. 10362.42 B. 101.80 C. 22.40 D. 503.32 129. A coffee shop franchise owner is looking at two possible locations for a new shop. To help make a decision he looks at the number of pedestrians that go by each of the two locations in one-hour segments. At location A, counts are taken for 35 one-hour units and with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the second location (B), counts are taken for 50 one hour units with a mean number of pedestrians of 347 and a sample standard deviation of 85. Assume the two populations variances are not known but are equal. Calculate a 95% confidence interval for the difference in pedestrian traffic at the two locations. (pooled estimate of = 22.4) A. (37.15 110.85) B. (14.6 59.4) C. (51.6 96.4) D. (30.1 117.9) 130. A coffee shop franchise owner is looking at two possible locations for a new shop. To help make a decision he looks at the number of pedestrians that go by each of the two locations in one-hour segments. At location A, counts are taken for 35 one-hour units and with a mean number of pedestrians of 421 and a sample standard deviation of 122. At the second location (B), counts are taken for 50 one hour units with a mean number of pedestrians of 347 and a sample standard deviation of 85. Assume the two populations variances are not known but are equal. Setup the null hypoth...
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This document was uploaded on 01/20/2014.

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