The breaking strength of hockey stick shafts made of two different graphite-kevlar composites yields the following results (in Newtons):
Composite 1:
484.1 | 474.6 | 490.2 | 500.3 | 468.9 |
499.2 | 463.4 | 498.5 | 478.4 | 499.1 |
474.5 | 480.7 | 473.8 | 487.2 | 479.2 |
(Note: The average and the standard deviation of the data are respectively 483.5 Newtons and 11.89 Newtons.)
Composite 2:
480 | 469.1 | 448.9 | 505.7 | 457.1 |
469.8 | 456.5 | 480.6 | 468.7 | 451.8 |
460.2 | 433.7 |
(Note: The average and the standard deviation of the data are respectively 465.2 Newtons and 18.46 Newtons.)
Use a 5% significance level to test the claim that the standard deviation of the breaking strength of hockey stick shafts made of graphite-kevlar composite 1 is less than the standard deviation of the breaking strength of hockey stick shafts made of graphite-kevlar composite 2.
Procedure:
Assumptions: (select everything that applies)
Step 1. Hypotheses Set-Up:
= | , where 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 5% significance level we have sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.
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