MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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In a study to estimate the proportion of residents in a certain city and its suburbs who favor the construction of a nuclear power plant, it is found that 59 of 100 urban residents favor the construction while only 39 of 100 suburban residents are in favor. Is there a significant difference between the proportions of urban and suburban residents who favor construction of the nuclear plant? Make use of a P-value. Click here to view page 1 of the standard normal distrībution table. Click here to view page 2 of the standard normal distribution table Let urban residents correspond to population 1, let suburban residents correspond to population 2, and let a success be a resident who favors the construction of a nuclear power plant. Identify the null and alternative hypotheses CC. Họ P,-P2 H, P, # P2 O B. Ho P, #P2 O A. Ho P1=P2 H1: P, > P2 H, P =P2 O D. Ho P, <P2 H P1=P2 O E. Ho P, > P2 H P1 =P2 OF Ho Pp =P2 H, P, <Pz Find the test statistic. 2.83 (Round to two decimal places as needed.) Find the P-value. (Round to three decimal places as needed.)
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Transcribed Image Text:In a study to estimate the proportion of residents in a certain city and its suburbs who favor the construction of a nuclear power plant, it is found that 59 of 100 urban residents favor the construction while only 39 of 100 suburban residents are in favor. Is there a significant difference between the proportions of urban and suburban residents who favor construction of the nuclear plant? Make use of a P-value. Click here to view page 1 of the standard normal distrībution table. Click here to view page 2 of the standard normal distribution table Let urban residents correspond to population 1, let suburban residents correspond to population 2, and let a success be a resident who favors the construction of a nuclear power plant. Identify the null and alternative hypotheses CC. Họ P,-P2 H, P, # P2 O B. Ho P, #P2 O A. Ho P1=P2 H1: P, > P2 H, P =P2 O D. Ho P, <P2 H P1=P2 O E. Ho P, > P2 H P1 =P2 OF Ho Pp =P2 H, P, <Pz Find the test statistic. 2.83 (Round to two decimal places as needed.) Find the P-value. (Round to three decimal places as needed.)
Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0 10 level of significance whether the two methods of analysis give, on the average, the same result Click here to view the sample analyses. Let sample 1 be the X-ray fluorescence results and let sample 2 be the labe Ho: Ho = 0 Sample Analyses H Ho # 0 Identify the critical region. Select the correct choice below and fill in the ans (Round to three decimal places as needed.) Sample 3 4 5 Analysis X-гау Chemical 2 1.9 2.2 2.1 2.3 2.4 2.4 2.2 O A. 1.8 2.5 2.4 O B t< -2.132 or t> 2.132 Print Done Determine the test statistic (Round to two decimal places as needed.)
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Transcribed Image Text:Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0 10 level of significance whether the two methods of analysis give, on the average, the same result Click here to view the sample analyses. Let sample 1 be the X-ray fluorescence results and let sample 2 be the labe Ho: Ho = 0 Sample Analyses H Ho # 0 Identify the critical region. Select the correct choice below and fill in the ans (Round to three decimal places as needed.) Sample 3 4 5 Analysis X-гау Chemical 2 1.9 2.2 2.1 2.3 2.4 2.4 2.2 O A. 1.8 2.5 2.4 O B t< -2.132 or t> 2.132 Print Done Determine the test statistic (Round to two decimal places as needed.)
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