In: Statistics and Probability
The breaking strength of hockey stick shafts made of two different graphite-kevlar composites yields the following results (in Newtons):
Composite 1:
482.8 | 469.6 | 441.6 | 460.6 | 478.2 |
456.1 | 480.4 | 496.5 | 493.7 | 473.2 |
467.6 | 453.3 | 453.2 |
(Note: The average and the standard deviation of the data are respectively 469.8 Newtons and 16.5 Newtons.)
Composite 2:
495.4 | 489.2 | 513 | 498.6 | 482 |
484 | 504.6 | 492 | 491.6 | 495 |
509.5 | 475.8 | 484.2 | 523.5 | 483.8 |
474.1 | 493 | 510.7 |
(Note: The average and the standard deviation of the data are respectively 494.4 Newtons and 13.48 Newtons.)
Use a 1% 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 greater than the standard deviation of the breaking strength of hockey stick shafts made of graphite-kevlar composite 2.
Procedure: Select an answer Two means T (pooled) Hypothesis Test Two means Z Hypothesis Test Two paired means Z Hypothesis Test Two means T (non-pooled) Hypothesis Test Two proportions Z Hypothesis Test Two variances F Hypothesis Test
Assumptions: (select everything that applies)
Step 1. Hypotheses Set-Up:
H0:H0: Select an answer μ₁-μ₂ σ₁²/σ₂² μ p₁-p₂ = | , where Select an answer μ's are μ=μ₁-μ₂ is σ's are p's are the Select an answer difference between population means population means population standard deviations population proportions and the units are Select an answer lbs Watt J N |
Ha:Ha: Select an answer μ₁-μ₂ σ₁²/σ₂² p₁-p₂ μ ? > ≠ < | , and the test is Select an answer Left-Tail Two-Tail Right-Tail |
Step 2. The significance level α=α= %
Step 3. Compute the value of the test statistic: Select an answer f₀ χ²₀ t₀ z₀ = (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? |
? no yes | ? no yes |
Conclusion: Select an answer Reject the null hypothesis in favor of the alternative. Do not reject the null hypothesis in favor of the alternative.
Step 6. Interpretation:
At 1% significance level we Select an answer DO DO NOT have sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis.