The amount of flour in a 10 pound bag of Queen Asha flour is normally distributed with a mean of 10 pounds and a standard deviation of 0.05 pounds. A sample of 12 bags of Queen Asha flour have the following weights: 10.03      10.02      9.98      9.99      9.99      10.01 10.02      9.96      9.94      9.98      9.99      10.00 Use this data with ? = 0.02 to test the claim that the standard deviation of weights is less than 0.05 pounds. (a) Which distribution is appropriate to use here?  ---Select--- standard normal distribution chi-square distribution Student's t distribution (b) What type of test is necessary?  ---Select--- left-tailed right-tailed two-tailed (c) The sample test statistic is (round to two decimal places) (d) The P-value is (round to four decimal places) (e) We  ---Select--- reject fail to reject the null hypothesis, and conclude that at the  ---Select--- 1% 2% 5% level of significance, there is  ---Select--- sufficient insufficient evidence to conclude that the standard deviation of weights is less than 0.05 pounds.

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The amount of flour in a 10 pound bag of Queen Asha flour is normally distributed with a mean of 10 pounds and a standard deviation of 0.05 pounds. A sample of 12 bags of Queen Asha flour have the following weights:

10.03      10.02      9.98      9.99      9.99      10.01
10.02      9.96      9.94      9.98      9.99      10.00

Use this data with ? = 0.02 to test the claim that the standard deviation of weights is less than 0.05 pounds.

(a) Which distribution is appropriate to use here?  ---Select--- standard normal distribution chi-square distribution Student's t distribution
(b) What type of test is necessary?  ---Select--- left-tailed right-tailed two-tailed
(c) The sample test statistic is (round to two decimal places)
(d) The P-value is (round to four decimal places)
(e) We  ---Select--- reject fail to reject the null hypothesis, and conclude that at the  ---Select--- 1% 2% 5% level of significance, there is  ---Select--- sufficient insufficient evidence to conclude that the standard deviation of weights is less than 0.05 pounds.
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