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, -21, -72, -45, 10, 18, 53, -8, -52, -109,- 109 H₁: o = 32.2 ft OC. Ho: o 32.2 ft H₁: o>32.2 ft O E. Ho: o>32.2 ft H₁: o = 32.2 ft Find the test statistic. H₁: o #32.2 ft OD. Ho: o #32.2 ft H₁: o = 32.2 ft x²=0 (Round to two decimal places as needed.) Determine the critical value(s). OF. Ho: o 32.2 ft H₁: o<32.2 ft The critical value(s) is/are (Use a comma to separate answers as needed. Round to two decimal places as needed.) The variation appears to be new method appears to be Since the test statistic is the critical value(s), Ho. There is evidence to support the claim that the new production method has errors with a standard deviation greater than 32.2 ft. company than in the past, so the ▼, because there will be altimeters that have errors. Therefore, the take immediate action to reduce the variation. Next

If the actual deviation rate in the sample is greater than the expected deviation rate:   The achieved upper deviation rate is less than the tolerable rate.   The achieved upper deviation rate is greater than the tolerable rate.   The sample result supports reliance on the control.   The sample size was too large.

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? −41​, 76​, −25​, −70​, −44​, 11​, 16​, 51​, −8​,−51​, −109​, −109

An educational researcher claims that the average GPA of graduate students at FIU is less than 3.5 . To test his claim he collected data on 81 graduate students . The sample mean GPA was 3.25 with a standard deviation of 0.3 . What is the conclusion ? Group of answer choices A.  Reject the null hypothesis B.  Type I error C.  Fail to reject the null hypothesis D.  Reject the alternative hypothesis

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?   -4178-24-75-43131554-7-55-109-109

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?     A. Find the test statistic. χ2= ​(Round to two decimal places as​ needed.)   B. 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.)

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K 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? -43, 77, -23, -72, -41, 12, 19, 55, -6, -53, -108, 108 What are the null and alternative hypotheses? OA. Ho o32.2 ft Find the test statistic. OB. Ho: > 32.2 ft H₁: 0= 32.2 ft O D. Ho: 032.2 ft H₁: σ= 32.2 ft OF. Ho: 0 32.2 fl H₁: σ<32.2 ft 2=0 (Round to two decimal places as needed.)…