Test the claim the samples come from populations with the same mean. Use a.05 significance level. Source DF SS 13.5 13.925 27.425 MS Factor 3 4.5 5.17 0.012 Error 16 0.87 Total 19
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- What is meant by the sample space of an experiment?Kevin, a Human Resources professional, would like to make the claim that the average hourly wage for administrative workers at his company is less than $9.69. Kevin samples 15 workers and obtains a sample mean of $8.80 per hour. At the 1% significance level, should Kevin reject or fail to reject the null hypothesis given the sample data below?The use of cellular phones in automobiles has increased dramatically in the last few years. Of concern to traffic experts, as well as to manufacturers of cellular phones, is the effect on accident rates. Is someone who is using a cellular phone more likely to be involved in a traffic accident? What is your conclusion from the following sample information? Use the 0.05 significance level. Had Accident in the Last Year Did Not Have an Accident in the Last Year Uses a cell phone 47 320 Does not use a cell phone 42 221 State the null hypothesis (Choose 1 or 2.) (Choose 1 or 2) There is no relationship between phone use and accidents.2. There is a relationship between phone use and accidents. State the decision rule using 0.05 significance level.(Round your answer to 3 decimal places.) Reject H0 if chi square is greater than Compute the value of chi-square.(Round your answer to 3 decimal places.) What is your decision regarding H0? (Choose…
- The use of cellular phones in automobiles has increased dramatically in the last few years. Of concern to traffic experts, as well as to manufacturers of cellular phones, is the effect on accident rates. Is someone who is using a cellular phone more likely to be involved in a traffic accident? What is your conclusion from the following sample information? Use the 0.05 significance level. Had Accident in the Last Year Did Not Have an Accident in the Last Year Uses a cell phone 33 271 Does not use a cell phone 51 424 Click here for the Excel Data File H0: There is no relationship between phone use and accidents.H1: There is a relationship between phone use and accidents. a. State the decision rule using 0.05 significance level. (Round your answer to 3 decimal places.) b. Compute the value of chi-square. (Round your answer to 3 decimal places.)2. A national car rental agency is interested in determining whether the mean days that customers rent cars is the same between three of its major cities. The following data reflect the number of days people rented a car for a sample of people in each of three cities. At the 5% significance level, do the data provide sufficient evidence to conclude that a difference exists between the population mean days corresponding to the three cities? Use the One-Way ANOVA test. -Attached is the image with the following data. Step 1 - State the Hypothesis Step 2 - Decide on alpha Step 3 - Calculate the Test Statistic Step 4 - Find the Critical Value Step 5 - ConclusionAt the 0.05 significance level, can we conclude that the mean amount spent has increased? Follow the five step hypothesis testing procedure.
- An information technology help desk has a service level agreement (SLA) that says that clients should be contacted about their service requests within 1 hour (60 minutes) of the help desk receiving the request. Jackie, the help desk manager, wants to check if the help desk is actually taking longer than 60 minutes to respond. For a random sample of 20 service requests, Jackie obtained the time between the help desk receiving the request and the client being contacted. The marketer conducts a one-mean hypothesis at the 5% significance level, to test whether the response time is greater than 60 minutes. (a) Which answer choice shows the correct null and alternative hypotheses for this test? Select the correct answer below: H0:μ=20; Ha:μ<20, which is a left-tailed test. H0:μ=60; Ha:μ<60, which is a left-tailed test. H0:μ=20; Ha:μ>20, which is a right-tailed test. H0:μ=60; Ha:μ>60, which is a right-tailed test.Listed below are attribute ratings of males by females who participated in speeddating events. Use a 0.05 significance level to test the claim that females in thedifferent age brackets give attribute ratings with the same mean. Does ageappear to be a factor in the female attribute ratings? (Write the null andalternative hypothesis in symbols, find the critical value and test statistics,make a decision, and write a conclusion based on your results and answer thequestion above.)Age 20-22 38 42 30.0 39 47 43 33 31 32 28Age 23-26 39 31 36.0 35 41 45 36 23 36 20Age 27-29 36 42 35.5 27 37 34 22 47 36 32In a rural area, only 30% of the wells that are drilled find adequate water within a depth of 100 feet or less. A local man Jed Clampett asserts he can do better by “dowsing” - using a forked stick to indicate where the well should be drilled. A sample of 80 of his customers reported 27 that found water before a depth of 100 feet. Does the data support his claim? Use a 10% significance level.
- A pipes manufacturer makes pipes with a length that is supposed to be 19 inches. A quality control technician sampled 24 pipes and found that the sample mean length was 19.08 inches and the sample standard deviation was 0.24 inches. The technician claims that the mean pipe length is not 19 inches. What type of hypothesis test should be performed? What is the test statistic? What is the number of degrees of freedom? Does sufficient evidence exist at the α=0.01 significance level to support the technician's claim?As part of a study of corporate employees, the director of human resources for PNC Inc. wants to compare the distance traveled to work by employees at its office in downtown Cincinnati with the distance for those in downtown Pittsburgh. A sample of 35 Cincinnati employees showed they travel a mean of 370 miles per month. A sample of 40 Pittsburgh employees showed they travel a mean of 380 miles per month. The population standard deviations for the Cincinnati and Pittsburgh employees are 30 and 26 miles, respectively. At the .05 significance level, is there a difference in the mean number of miles traveled per month between Cincinnati and Pittsburgh employees?A grassroots group opposed to a proposed increase in the gas tax claimed that the increase would hurt working-class people the most, since they commute the farthest to work. Suppose that the group randomly surveyed 24 individuals and asked them their daily one-way commuting mileage. The results are in Table below. Using a 5% significance level, test the hypothesis that the three mean commuting mileages are the same. working-class professional (middle incomes) professional (wealthy) 17.8 16.5 8.5 26.7 17.4 6.3 49.4 22.0 4.6 9.4 7.4 12.6 65.4 9.4 11.0 47.1 2.1 28.6 19.5 6.4 15.4 51.2 13.9 9.3