For a certain drug, based on standards set by the United States Pharmacopeia (USP) - an official public standards-setting authority for all prescription and over-the-counter medicines and other health care products manufactured or sold in the United States, a standard deviation of capsule weights of less than 1 mg is acceptable. A sample of 44 capsules was taken and the weights are provided below:
99.5 | 99.1 | 99.9 | 99.4 | 101.2 |
99.6 | 100 | 102.5 | 100.2 | 100.4 |
98.8 | 101.7 | 101.1 | 101.5 | 100 |
98.6 | 98.9 | 98.7 | 101.1 | 100.1 |
101.1 | 100.1 | 99.3 | 100.4 | 100.1 |
100.7 | 99.5 | 99.8 | 99.6 | 100.3 |
98 | 99 | 99.6 | 101.8 | 102.1 |
98.1 | 99.1 | 100.2 | 99.1 | 100.1 |
98.1 | 101 | 100.8 | 99.6 |
(Note: The average and the standard deviation of the data are respectively 100 g and 1.08 g.)
At 10% significance level, test the claim that the standard deviation of capsule weights of the drug is greater than 1 g.
Procedure:
Assumptions: (select everything that applies)
Step 1. Hypotheses Set-Up:
= | , where is the and the units are |
, and the test is |
Step 2. The significance level %
Step 3. Compute the value of the test statistic: = (Round the answer to 3 decimal places)
Step 4. Testing Procedure: (Round the answers to 3 decimal places)
CVA | PVA |
Provide the critical value(s) for the Rejection Region: | Compute the P-value of the test statistic: |
left CV is and right CV is | P-value is |
Step 5. Decision:
CVA | PVA |
Is the test statistic in the rejection region? | Is the P-value less than the significance level? |
Conclusion:
Step 6. Interpretation:
At 10% significance level we have sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.
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