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Extracted 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 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. H,: o = 32.2 ft H,: o+ 32.2 ft O B. Ho: o#32.2 ft H,: o =32.2 ft O C. Ho: o> 32.2 ft H,: o = 32.2 ft O D. H,: o<32.2 ft="" h,o="32.2" ft="" -="" 41,="" 78,="" -="" 20,="" -71,="" -45,="" 10,="" 17,="" 51,="" -5,="" -50,="" -="" 109,="" 109="" d="" o="" e.="" h,="" o="32.2" ft="" h,:="">< 32.2="" ft="" of.="" ho="" a="32.2" ft="" h,:="" a=""> 32.2 ft Find the test statistic. x² (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) is/are (Use a comma to separate answers as needed. Round to two decimal places as needed.) Since the test statistic is the critical value(s), Ho. There is evidence to support the claim that the n as errors with a standard deviation greater than 32.2 ft. The variation appears to be in the past, so the new method appears to be because there will be greater than have errors. Therefore, the company take immediate action to reduce the variati less than between
Extracted 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 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. H,: o = 32.2 ft H,: o # 32.2 ft O B. Ho: o#32.2 ft H,: o = 32.2 ft O C. Ho: o> 32.2 ft H,: o = 32.2 ft O D. Ho: o<32.2 ft="" h,:="" o="32.2" ft="" -41,="" 78,="" -="" 20,-71,="" -45,="" 10,="" 17,="" 51,="" -5,="" -50,="" -="" 109,="" 109="" o="" o="" e.="" h,="" o="32.2" ft="" h,=""><32.2 ft="" o="" f.="" ho:="" o="32.2" ft="" h:="" o="">32.2 ft Find the test statistic. (Round to two decimal places as needed.) Determine the critical value(s). The critical value(s) is/are (Use a comma to separate answers as needed. Round to two decimal places as nedded.) Since the test statistic is the critical value(s), Ho- There is evidence to support the claim that the new production method has errors wit' greater than 32.2 ft. The variation appears to be than in the past, : ears to be because there will be altimeters that have erors. fail to reject take immediate action to reduce the variation. reject