A scientist estimates that the mean nitrogen dioxide level in a city is greater than 33 parts per billion. To test this estimate, you determine the nitrogen dioxide levels for 31 randomly selected days. The results (in parts per billion) are listed to the right. Assume that the population standard deviation is 7. At a=0.14, can you support the scientist's estimate? Complete parts (a) through (e). D. Ho: H=33 (a) Write the claim mathematically and identify Ho and H₂. Choose from the following. OA. Ho: p=33 (claim) OB. Ho: μ ≥ 33 (claim) Ha: μ<33 Ha: μ>33 *** Ha: μ> 33 (claim) Zo E. Ho: H≤33 Ha: μ> 33 (claim) (b) Find the critical value and identify the rejection region. (Round to two decimal places as needed.) 16 25 18 42 37 23 19 38 14 29 44 18 14 18 43 17 20 37 32 27 19 42 18 17 34 38 30 29 38 44 38 Ho: μ<33 Ha: μ ≥ 33 (claim) Ho: μ ≤33 (claim) Ha: μ>33
A scientist estimates that the mean nitrogen dioxide level in a city is greater than 33 parts per billion. To test this estimate, you determine the nitrogen dioxide levels for 31 randomly selected days. The results (in parts per billion) are listed to the right. Assume that the population standard deviation is 7. At a=0.14, can you support the scientist's estimate? Complete parts (a) through (e). D. Ho: H=33 (a) Write the claim mathematically and identify Ho and H₂. Choose from the following. OA. Ho: p=33 (claim) OB. Ho: μ ≥ 33 (claim) Ha: μ<33 Ha: μ>33 *** Ha: μ> 33 (claim) Zo E. Ho: H≤33 Ha: μ> 33 (claim) (b) Find the critical value and identify the rejection region. (Round to two decimal places as needed.) 16 25 18 42 37 23 19 38 14 29 44 18 14 18 43 17 20 37 32 27 19 42 18 17 34 38 30 29 38 44 38 Ho: μ<33 Ha: μ ≥ 33 (claim) Ho: μ ≤33 (claim) Ha: μ>33
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Find the critical value and identify the rejection region
Identify the standardized test statistic use technology
decide whether to reject or fail to reject the null hypothesis and interpret the decision in the context of the original claim
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