Test the given claim. Assume that a simple random sample is selected from a normally distributed population. Use either the P-value method or the traditional method of testing hypotheses. Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. Use a 0.05 level of significance to test the claim that the new production method has errors with a standard deviation greater than 32.2 ft. which was the standard deviation for the old production method. If it appears that the standard deviation is greater, does the new production method appear to be better or worse than the old method? Should the company take any action? -44, 75, -23, -70, -42, 14, 15, 52, -8, -55, 106, -106 What are the null and alternative hypotheses? OA. H₂ = 322 ft H₂:32.2 ft OC. H₂a=32 2 ft H₂: G#32.2 ft OE H₂ <322 ft H₁: a = 32.2 ft Find the test statistic. = 34.76 (Round to two decimal places as needed.) Determine the critical value(s). OB. H₂ #32.2 ft H₂: = 32.2 ft D. Ha 32.2 ft H₂>32.2 ft OF H₂ 32.2 ft H₂ = 32.2 ft The critical value(s) is/are 19.68 (Use a comma to separate answers as needed. Round to two decimal places as needed.) Since the test statistic is greater than the critical value(s). reject H. There is sufficient evidence to support the claim that the new production method has errors with a standard deviation greater than 32.2 ft. The variation appears to be than in the past, so the new method appears to be altimeters that have errors. Therefore, the company because there will be take immediate action to reduce the variation.
Test the given claim. Assume that a simple random sample is selected from a normally distributed population. Use either the P-value method or the traditional method of testing hypotheses. Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted in errors listed below. Use a 0.05 level of significance to test the claim that the new production method has errors with a standard deviation greater than 32.2 ft. which was the standard deviation for the old production method. If it appears that the standard deviation is greater, does the new production method appear to be better or worse than the old method? Should the company take any action? -44, 75, -23, -70, -42, 14, 15, 52, -8, -55, 106, -106 What are the null and alternative hypotheses? OA. H₂ = 322 ft H₂:32.2 ft OC. H₂a=32 2 ft H₂: G#32.2 ft OE H₂ <322 ft H₁: a = 32.2 ft Find the test statistic. = 34.76 (Round to two decimal places as needed.) Determine the critical value(s). OB. H₂ #32.2 ft H₂: = 32.2 ft D. Ha 32.2 ft H₂>32.2 ft OF H₂ 32.2 ft H₂ = 32.2 ft The critical value(s) is/are 19.68 (Use a comma to separate answers as needed. Round to two decimal places as needed.) Since the test statistic is greater than the critical value(s). reject H. There is sufficient evidence to support the claim that the new production method has errors with a standard deviation greater than 32.2 ft. The variation appears to be than in the past, so the new method appears to be altimeters that have errors. Therefore, the company because there will be take immediate action to reduce the variation.
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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Transcribed Image Text:Test the given claim. Assume that a simple random sample is selected from a normally distributed population. Use either the P-value method or the
traditional method of testing hypotheses.
Company A uses a new production method to manufacture aircraft altimeters. A simple random sample of new altimeters resulted errors listed
below. Use a 0.05 level of significance to test the claim that the new production method has errors with a standard deviation greater than 32.2 ft,
which was the standard deviation for the old production method. If it appears that the standard deviation is greater, does the new production method
appear to be better or worse than the old method? Should the company take any action?
-44, 75, -23, 70, 42, 14, 15, 52, 8, 55, 106, 106
What are the null and alternative hypotheses?
OA. Ho: 32.2 ft
H₁: <32.2 ft
OC. Ho:
32.2 ft
H₁: G# 32.2 ft
OE. Ho: 32.2 ft
H₁: G = 32.2 ft
Find the test statistic.
x² = 34.76
(Round to two decimal places as needed.)
Determine the critical value(s).
OB. Ho: #32.2 ft
H₁: G = 32.2 ft
D. Ho: o 32.2 ft
H₁: o>32.2 ft
OF. Ho: > 32.2 ft
H₁: o = 32.2 ft
The critical value(s) is/are 19.68.
(Use a comma to separate answers as needed. Round to two decimal places as needed.)
Since the test statistic is greater than the critical value(s). reject Ho. There is sufficient evidence to support the claim that
the new production method has errors with a standard deviation greater than 32.2 ft.
The variation appears to be
than in the past, so the new method appears to be
▼altimeters that have errors. Therefore, the company
▼, because there will be
take immediate action to reduce the variation.
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