The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a= 0.05, can you conclude that at least one mean vacuu cleaner weight is different from the others? E Click the icon to view the vacuum cleaner weight data. Let Peu. PBLU. and HTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? O A. Ho: Heu PBLU HTC H Peu = PBLU =PTC Weight of Vacuum Cleaners by Type - X B. Ho: PeU = PBLU =HTC H: At least one of the means is different. O C. Ho: At least one of the means is different. Bagged upright| 23 20 Ha: Peu = HBLU = HTC 22 20 14 26 21 26 14 15 Bagless upright Top canister 17 16 O D. Ho: PeU = PBLU=HTC H Heu HBLU HTC 25 27 28 24 23 27 What is the test statistic? Print Done F= 10 (Round to two decimal places as needed.)
The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a= 0.05, can you conclude that at least one mean vacuu cleaner weight is different from the others? E Click the icon to view the vacuum cleaner weight data. Let Peu. PBLU. and HTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? O A. Ho: Heu PBLU HTC H Peu = PBLU =PTC Weight of Vacuum Cleaners by Type - X B. Ho: PeU = PBLU =HTC H: At least one of the means is different. O C. Ho: At least one of the means is different. Bagged upright| 23 20 Ha: Peu = HBLU = HTC 22 20 14 26 21 26 14 15 Bagless upright Top canister 17 16 O D. Ho: PeU = PBLU=HTC H Heu HBLU HTC 25 27 28 24 23 27 What is the test statistic? Print Done F= 10 (Round to two decimal places as needed.)
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 Test statistic
find the P- value
determine whether or not to reject the null hypothesis
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