Testing Hypotheses. In Exercises 9-24, assume that a simple random sample has been selected and test the given claim. Unless specified by your instructor, use either the P-value method or the critical value method for testing hypotheses. Identify the null and alternative hypotheses, test statistic, P-value (or
20. Ages of Race Car Drivers Listed below are the ages (years) of randomly selected race car drivers (based on data reported in USA Today). Use a 0.05 significance level to test the claim that the
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- Using the P-value method decide if you should reject the null hypothesis or not. In a sample of 81 adults selected from one town, it is found that 8 of them have been exposed to a particular strain of the flu. At 0.01 level of significance, you wish to test the claim that the proportion of all adults in the town that have been exposed to this strain of the flu is 8%.arrow_forwardPerform a statistical test for the given problem. Follow the steps in hypothesis testing when you present your results. To find out whether a new serum would arrest leukemia, 16 patients, who had all reached an advanced stage of the disease, were selected. Eight patients received the treatment and eight did not. The survival was taken from the time the experiment was conducted. Without Treatment: 1.8, 2.9, 3.3, 3.1, 2.4, 1.5, 1.5, 1.6 With Treatment: 3.9, 4.8, 4.7, 4.9, 4.2, 4.5, 5.5, 4.2arrow_forwardCalculate the test statistic Calculate the P-value What is the conclusion for this hypothesis test?arrow_forward
- TEST THE SIGNIFICANCE OF THE CORELATION COEFFICENT AT 0.05 LEVEL OF SIGNIFICANCE. (FOLLOW THE 5-STEP PROCEDURE IN HYPOTHESIS TESTING)arrow_forwardCalculate the test statistic Calculate the p value What is the conclusion for this hypothesis test?arrow_forwardCalculate the test statistic Calculate the p value What is the conclusion for this hypothesis test? What is the fundamental error with this analysis?arrow_forward
- Test the claim about the population mean, μ, at the given level of significance using the given sample statistics. Claim: μ≠6000; α=0.08; σ=391. Sample statistics: x=5900, n=49 Determine the outcome and conclusion of the test. Choose from the following. A. Reject H0. At the 8% significance level, there is enough evidence to support the claim. B. Fail to reject H0. At the 8% significance level, there is not enough evidence to support the claim. C. Fail to reject H0. At the 8% significance level, there is not enough evidence to reject the claim. D. Reject H0. At the 8% significance level, there is enough evidence to reject the claim.arrow_forwardFind the P-value for the indicated hypothesis test.In a sample of 47 adults selected randomly from Vancouver, it is found that 9 of them have been exposed to the flu. Find the P-value for a test of the claim that the proportion of all adults in Vancouver that have been exposed to this strain of the flu is more than 8%.arrow_forward) A Health Authority believes that the rate of smoking among adults in its region is above the national average of 36%. It commissions a random survey of 1,200 adults and finds that the number of smokers in this sample is 395. They wish to test their belief. i. Clearly state an appropriate null and alternative hypothesis. ii. Perform the hypothesis test at the significance level α = .05. Find also the p−value of the test. iii. State your conclusions.arrow_forward
- Show null hypothesis, alternative hypothesis, test statistic, p value, conclusion about the null hypothesisarrow_forwardTechnology. In Exercises 9–12, test the given claim by using the display provided from technology. Use a 0.05 significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim. Airport Data Speeds Data Set 32 “Airport Data Speeds” in Appendix B includes Sprint data speeds (mbps). The accompanying TI-83/84 Plus display results from using those data to test the claim that they are from a population having a mean less than 4.00 Mbps. Conduct the hypothesis test using these results. For Exercise 9arrow_forwardClassify the conclusion of the hypothesis test as a Type I error, a Type II error, or a correct decision. In 1992, the average math SAT score for students at one school was 479. Five years later, a teacher wants to perform a hypothesis test to determine whether the average math SAT score of students at the school has changed from the 1992 mean of 479. The hypotheses are: H0:μ =479 H1:μ ≠479 Suppose that the results of the sampling lead to rejection of the null hypothesis. Classify that conclusion as a Type I error, a Type II error, or a correct decision, if in fact the average math SAT score of students at the school has changed from the 1992 mean of 479.arrow_forward
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