In each of Exercises 13.24-13.33, apply the chi-square goodness-of-fit-test, using either the critical-value approach or the P-value approach, to perform the required hypothesis test.
13.26 Road Rage. The report controlling Road Rage: A Literature Review and pilot study was prepared for the AAA Foundation for Traffic Safety by D. Rathbone and J. Huckabee. The authors discussed the results of a literature review and pilot study on how to prevent aggressive driving and road rage. Road rage is defined as “…an incident in which an angry or impatient motorist or passenger intentionally injures or kills another motorist, passenger, or pedestrian, or attempts or threatens to injure or kill another motorist, passenger, or pedestrian.” One aspect of the study was to investigate road rage as a
Day | Frequency |
Sunday Monday Tuesday Wednesday Thursday Friday Saturday |
5 5 11 12 11 18 7 |
At the 5% significance level, do the data provide sufficient evidence to conclude that road-rage incidents are more likely to occur on some days than on others?
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Introductory Statistics (10th Edition)
- The NAEP considers that a national average of 283 is an acceptable performance. Using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2019 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2019 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?arrow_forwardDid the ductility of the wire change after soaking it to an acid solution? Infer from the data below: Ductility before soaking Ductility after soaking 2563 2405 2564 2406 2565 2407 2566 2408 2567 2409 2452 2693 2453 2694 2454 2695 2455 2696 2456 2697 2634 2589 2635 2590 2636 2591 2637 2592 1.) Create a null and alternative hypothesis 2.) Is there a significant change before and after soaking? Prove it using computationsarrow_forwardAlso, using α = .05, run a two-tail t-test for one sample to test Ho: µ=283 for the 2009 scores. Report the t-obt, df, and p-values. Would you reject the null hypothesis that the 2009 scores come from a population with average 283? If this is the case, does it come from a population from larger or smaller average?arrow_forward
- A hospital claims that the mean wait time for emergency room patients is more than 38 minutes. Identify the null hypothesis Ho, and the alternate hypothesis Ha in terms of the parameterarrow_forward3. A researcher is testing a two-tailed null hypothesis at the p < .01 level with df = 45. What critical value would she or he use? Justify your answerarrow_forwarda. Assuming for the moment that all coefficients are significant, please interpret the coefficients of the four independent variables in the BIG b. To determine which of the two models above is statistically superior at the .10 level, please calculate the appropriate F‐statistic.arrow_forward
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- Next, given a situation in which a research reports a large eta squared effect size (eta squared = .64), why might their reported t value be small and not statistically significant? What may be inference from such a situation? Indicate and provide examples of three of the factors that influence the size of t.arrow_forwardWhen asked what it means for the result of a hypothesis test to be practically significant (or practically important), Tatum says this means that the P-value is small and the null hypothesis has been rejected. what is wrong about this?arrow_forwardIndicate whether CPAs in states that have flat state income tax rates work fewer hours per week during tax season compared to the US average. You will want to formally set up H0 and Ha, report either the test statistic (z-value) or p-value, and explain why you either reject or fail to reject your null hypothesis.arrow_forward
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