Test the given claim. Assume that a simple random sample is selected from a normally.distributed population. Use eitherthe 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 altimetersresulted in errors listed below. Use a 0.05 level of significance to test the claim that the new production method has errorswith a standard deviation greater than 32.2 ft, which was the standard deviation for the old production method. If itappears that the standard deviation'is greater, does the new production method appear to be better or worse than the oldmethod? Should the company take any action?What are the null and alternative hypotheses?O A. Ho: o = 32.2 ftH;: o > 32.2 ftB. Ho: 0 = 32.2 ftH;: 0# 32.2 ftO C. Ho: o< 32.2 ftH;: o = 32.2 ftD. Ho: o = 32.2 ftH;: o<32.2 ft- 43, 79, - 25, - 75, - 42, 10, 16, 53, – 9, – 52, – 106, - 106 OO E. Ho: o+32.2 ftH;: 0 = 32.2 ftF. Ho:o>32.2 ftH;: o = 32.2 ftFind the test statistic.x2 = 36.62(Round to two decimal places as needed.)Determine the critical value(s).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),rejectHo. There issufficientsupport the claim that the new production method has errors with a standard deviation greater than 32.2 ft.evidence to`e variation appears to bethan in the past, so the new method appears to bebecausenere will bealtimeters that have errors. Therefore, the companytake immediateaction to reduce the variation.

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Description: Test the given claim. Assume that a simple random sample is selected from a normally.distributed population. Use eitherthe P-value method or the traditional method of testing hypotheses.Company A uses a new production method to manufacture aircraft

The standard deviation of production errors is calculated by using excel as follows:

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 emrors 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? What are the null and alternative hypotheses? A. Ho o = 32.2 ft O B. H o= 32.2 ft H,: o> 32.2 ft H,: o+ 32.2 ft O C. Ho< 32.2 ft H,: o = 32.2 ft OD. H a= 32.2 ft H,:o<32.2 ft -43, 79, - 25, - 75, -42, 10, 16, 53, -9, - 52, - 106, - 106 O O E. H o 32.2 ft H,: a = 32.2 ft O.F. Ho o>32.2 ft H,: o = 32.2 ft Find the test statistic. 2=36.62 (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) islare 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 support the claim that the new production method has errors with a standard deviation greater than 32.2 ft. evidence to e variation appears to be v than in the past, so the new method appears to be . because ulere will be V altimeters that have errors. Therefore, the company take immediate action to reduce the variation.

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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?
What are the null and alternative hypotheses?
O A. Ho: o = 32.2 ft
H;: o > 32.2 ft
B. Ho: 0 = 32.2 ft
H;: 0# 32.2 ft
O C. Ho: o< 32.2 ft
H;: o = 32.2 ft
D. Ho: o = 32.2 ft
H;: o<32.2 ft
- 43, 79, - 25, - 75, - 42, 10, 16, 53, – 9, – 52, – 106, - 106 O
O E. Ho: o+32.2 ft
H;: 0 = 32.2 ft
F. Ho:o>32.2 ft
H;: o = 32.2 ft
Find the test statistic.
x2 = 36.62
(Round to two decimal places as needed.)
Determine the critical value(s).
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
support the claim that the new production method has errors with a standard deviation greater than 32.2 ft.
evidence to
`e variation appears to be
than in the past, so the new method appears to be
because
nere will be
altimeters that have errors. Therefore, the company
take immediate
action to reduce the variation.

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