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? negative 40, 77, negative 22, negative 75, negative 44, 11, 17, 51, negative 9, negative 52, negative 107, negative 107 What are the null and alternative hypotheses? A. H0: sigmaequals32.2 ft H1: sigmanot equals32.2 ft B. H0: sigmaequals32.2 ft H1: sigmaless than32.2 ft C. H0: sigmaless than32.2 ft H1: sigmaequals32.2 ft D. H0: sigmagreater than32.2 ft H1: sigmaequals32.2 ft E. H0: sigmanot equals32.2 ft H1: sigmaequals32.2 ft F. H0: sigmaequals32.2 ft H1: sigmagreater than32.2 ft Your answer is correct. Find the test statistic. chi squaredequals nothing (Round to two decimal places as needed.)