COMPLETE THE FOLLOWING ANOVA SUMMARY TABLE ACCEPT OR REJECT THE NULL at p= .05 SOURCE DEISS MS LE BETWEEN 26 WITHIN TOTAL 11 441 2
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- Below indicate whether the appropriate test would be an independent t-test, dependent t-test, One-way ANOVA, or z-test. . A statistics professor wants to know if students who turn their homework in on time get higher exam grades than students who do not turn their homework in on time.The cost of building a supermarket is related to the total area of the building. Data for the last 10 supermarkets built for Regork, Inc., are shown in theaccompanying table. Solve, a. Develop a CER for the construction ofsuper markets. Use the CER to estimate the cost of Regork’s next store, which has a planned area of 23,000 square feet. b. Compute the standard error and correlation coefficient for the CER developed in Part (a).The sales rep of a waterbed claims that 25% of the Filipino died because of cardiovascular diseases. A researcher wants to test this claim. A hospital record shows that out of a random sample of 200 dead patients, 55 patients died because of cardiovascular diseases. Does the data provide sufficient evidence to support the claim of the sales rep? Use 0.03 level of significance.
- Suppose Michigan State University's Collegiate Employment Institute found that starting salaries for recipients of bachelor's degrees in business was $50,032 in 2017. The results for a sample of 100 business majors receiving a bachelor's degree in 2018 showed a mean starting salary of $51,277 with a sample standard deviation of $5,200. Conduct a hypothesis test to determine whether the mean starting salary for business majors in 2018 is greater than the mean starting salary in 2017. Use α = 0.01 as the level of significance. State the null and alternative hypotheses. (Enter != for ≠ as needed.) H0: μ≤50032 Ha: μ>50032 Find the value of the test statistic. (Round your answer to three decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value = State your conclusion. Do not reject H0. There is insufficient evidence to conclude that the mean starting salary for business majors has increased in 2018.Do not reject H0. There is sufficient…Two suppliers manufacture a plastic gear used in a laser printer. The impact strength of these gears measured in foot-pounds is an important characteristic. A random sample of 10 gears from supplier 1 results in ₁ = 290 and s₁ = 12, and another random sample of 16 gears from the second supplier results in ₂ = 321 and s₂ = 22. Is there evidence to support the claim that supplier 2 provides gears with higher mean impact strength? Use a = 0.05, and assume that both populations are normally distributed but the variances are not equal. O a. Because -4.64 < -1.714, fail to reject the Null Hypothesis Ob. None among the choices O c. Reject the Null Hypothesis Od. Because -4.64 < -1.714, reject the Null HypothesisThe average one-ounce chocolate chip cookie contains 128 calories. A random sample of different brands of one-ounce cookies resulted in the following calorie amounts. At ? = 0.10.level of significance, is there sufficient evidence that the average calorie content is greater than 128 calories? 100 125 150 160 180 125 145 160 100 150 140 135 120 110 123 133 144 134
- It has been hypothesized that treatments (after casting) of a plastic used in optic lenses will improve wear. Four different treatments are to be tested. To determine whether any differences in mean wear exist among treatments, 28 casting from a single formulation of the plastic were made and 7 castings were randomly assigned to each of the treatments. Wear was determined by measuring the increase in “haze” after 200 cycles of abrasion (better wear being indicated by smaller increases). The data collected are reported in the accompanying table. Treatment A B C D 9.16 11.95 11.47 11.35 13.29 15.15 9.54 8.73 12.07 14.75 11.26 10 11.97 14.79 13.66 9.75 13.31 15.48 11.18 11.71 12.32 13.47 15.03 12.45 11.78 13.06 14.86 12.38 Q. Construct ANOVA table. At the 5%, is there evidence of significant difference in mean wear among the four treatments? Determine which treatments differ in average wear.An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 250 Fundash runners and 285 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 250 Fundash runners complete the course with a mean time of 76.7 minutes and a standard deviation of 5.7 minutes. The 285 Coolsprint runners complete the course with a mean time of 77.5 minutes and a standard deviation of 5.6 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean completion time, u, of Fundash is not equal to the mean completion time, µa, of Coolsprint? Perform a two-tailed test.…An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 255 Fundash runners and 290 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 255 Fundash runners complete the course with a mean time of 63.1 minutes and a standard deviation of 3.2 minutes. The 290 Coolsprint runners complete the course with a mean time of 63.5 minutes and a standard deviation of 3.1 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean completion time, µ1, of Fundash is not equal to the mean completion time, µ,, of Coolsprint? Perform a two-tailed test.…
- An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 225 Fundash runners and 295 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 225 Fundash runners complete the course with a mean time of 63.6 minutes and a standard deviation of 3.0 minutes. The 295 Coolsprint runners complete the course with a mean time of 63.0 minutes and a standard deviation of 2.9 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.10 level of significance, is there enough evidence to support the claim that the mean completion time, µ, of Fundash is not equal to the mean completion time, u,, of Coolsprint? Perform a two-tailed test.…An adventure company runs two obstacle courses, Fundash and Coolsprint. The designer of the courses suspects that the mean completion time of Fundash is not equal to the mean completion time of Coolsprint. To test this, she selects 240 Fundash runners and 200 Coolsprint runners. (Consider these as random samples of the Fundash and Coolspring runners.) The 240 Fundash runners complete the course with a mean time of 76.7 minutes and a standard deviation of 5.2 minutes. The 200 Coolsprint runners complete the course with a mean time of 77.5 minutes and a standard deviation of 5.4 minutes. Assume that the population standard deviations of the completion times can be estimated to be the sample standard deviations, since the samples that are used to compute them are quite large. At the 0.05 level of significance, is there enough evidence to support the claim that the mean completion time, μ1 , of Fundash is not equal to the mean completion time, μ2 , of Coolsprint?…The cost of building a supermarket is related to the total area of the building. Data for the last 10supermarkets built for Regork, Inc., are shown in the accompanying table.a. Develop a CERfor the construction of supermarkets. Use the CER to estimate the cost ofRegork’s next store, which has a planned area of 23,000 square feet.b. Compute the standard error and correlation coefficient for the CER developed in Part (a).