A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type Il ovens. A sample of 59 type I ovens has a mean repair cost of $70.89, with a standard deviation of $24.74. A sample of 69 type Il ovens has a mean repair cost of $67.71. with a standard deviation of $18.77. Conduct a hypothesis test of the technician's claim at the 0.1 level of significance. Let u, be the true mean repair cost for type I ovens and u, be the true mean repair cost for type Il ovens.

A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type Il ovens. A sample of 59 type I ovens has a mean repair cost of $70.89, with a standard deviation of $24.74. A sample of 69 type Il ovens has a mean repair cost of $67.71. with a standard deviation of $18.77. Conduct a hypothesis test of the technician's claim at the 0.1 level of significance. Let u, be the true mean repair cost for type I ovens and u, be the true mean repair cost for type Il ovens.

Name: A technician compares repair costs for two types of microwave ovens (
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair costfor type Il ovens. A sample of 59 type I ovens has a mean repair cost of $70.8

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Community college instructors' salaries in one state are very low, so low that educators in that state regularly complain about their compensation. The national mean is $45,661, but instructors from Mississippi claim that the mean in their state is significantly lower. They survey a simple random sample of 61 colleges in the state and calculate a mean salary of $43,024 with a standard deviation of $13,132. Test the instructors' claim at the 0.05 level of significance. Step 2 of 3: Compute the value of the test statistic. Round your answer to three decimal places.
A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type II ovens. A sample of 34 type I ovens has a mean repair cost of $⁢70.86, with a standard deviation of $⁢12.35. A sample of 48 type II ovens has a mean repair cost of $⁢67.84, with a standard deviation of $⁢21.72. Conduct a hypothesis test of the technician's claim at the 0.10.1 level of significance. Let μ1 be the true mean repair cost for type I ovens and μ2 be the true mean repair cost for type II ovens. Step 2 of 4 : Compute the value of the test statistic. Round your answer to two decimal places.
Dr. Graham is interested in determining if middle-aged adults use text messaging more or less frequently than the general population. Dr. Graham collects information on text messaging from a random sample of 50 adults ages 25 to 44. Dr. Graham finds that these individuals send or receive an average of 68 text messages per day. Using the population mean (and standard deviation) of 41.5 texts per day (34 texts per day), determine whether adults in this age group use text messaging more than the general public.
A local church parish wants to raise money to add to their campus. In a sample from a previous fund raising campaign, the parish found that of the 131 people in the sample they contacted, that 69 actually contributed money. Of those that contributed money, the average contribution was $857 with a standard deviation of $265. In the recent fundraising campaign, a sample of 95 people revealed that 48 have contributed money with an average contribution of $1109 and a standard deviation of $339. When testing (at the 5% level of significance) whether the average amount contributed has increased in the current campaign compared to the previous campaign, what is the test statistic? (please round your answer to 2 decimal places)
An industrial plant wants to determine which of two types of fuel, electric or gas, is more cost efficient (measured in cost per unit of energy). Independent random samples were taken of plants using electricity and plants using gas. These samples consisted of 14 plants using electricity, which had a mean cost per unit of $55.06 and standard deviation of $8.25, and 12 plants using gas, which had a mean of $57.80 and standard deviation of $7.81. Assume that the populations of costs per unit are normally distributed for each type of fuel, and assume that the variances of these populations are equal. Can we conclude, at the 0.10 level of significance, that μ₁, the mean cost per unit for plants using electricity, differs from μ₂, the mean cost per unit for plants using gas? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the table. (If necessary, consult a list of…
A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type Il ovens. A sample of 62 type l ovens has a mean repair cost of $86.71, with a standard deviation of $11.53. A sample of 61 type Il ovens has a mean repair cost of $79.77, with a standard deviation of $13.41. Conduct a hypothesis test of the technician's claim at the 0.05 level of significance. Let uj be the true mean repair cost for type I ovens and uz be the true mean repair cost for type Il ovens. Step 2 of 4: Compute the value of the test statistic. Round your answer to two decimal places. Answer O Tables E Keypad How to enter your answer Keyboard Shortcuts Previous Step Answers Submit Answer O 2020 Hawkes Learning MacBook Air 80 88 DI DD F1 F2 F4 F7 F8 F11 ! 23 $ & 1 2 3 4 + 7 8 9 Q W E R T Y U { [ A S D F H J K L C V B N M > ? otion command command option .. .-
Managers of an industrial plant want to determine which of two types of fuel, gas or electric, is more cost efficient (measured in cost per unit of energy). Independent random samples were taken of plants using electricity and plants using gas. These samples consisted of 10 plants using electricity, which had a mean cost per unit of $53.50 and standard deviation of $8.19 , and 11 plants using gas, which had a mean of $55.40 and standard deviation of $8.23 . Assume that the populations of costs per unit are normally distributed for each type of fuel, and assume that the variances of these populations are equal. Construct a 95% confidence interval for the difference −μ1μ2 between the mean cost per unit for plants using electricity, μ1 , and the mean cost per unit for plants using gas, μ2 . Then find the lower limit and upper limit of the 95% confidence interval. Carry your intermediate computations to at least three decimal places. Round your responses to at least…
A food distribution company claims that a restaurant chain receives, on average, 26 pounds of fresh vegetables on a daily basis. The standard deviation of these shipments is known to be 4.4 pounds. The district manager of the restaurant chain decides to randomly sample 35 shipments from the company and finds a mean weight of 24.7 pounds. Test at a 3% level of significance to determine whether or not the food distribution company sends less than 26 pounds of fresh vegetables. a. Check the TWO requirements that are satisfied. The Central Limit Theorem applies. The a distribution is normal since n > 30. The a distribution is normal since the x distribution is normal. The p distribution is normal since np > 5 and nq > 5.
A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type Il ovens. A sample of 60 type I ovens has a mean repair cost of $74.06, with a standard deviation of $16.10. A sample of 68 type Il ovens has a mean repair cost of $67.73, with a standard deviation of $14.70. Conduct a hypothesis test of the technician's claim at the 0.1 level of significance. Let u, be the true mean repair cost for type I ovens and u, be the true mean repair cost for type Il ovens. Step 1 of 4: State the null and alternative hypotheses for the test. Answer O Tables E Keypad Keyboard Shortcuts Submit Answer O 2020 Hawkes Learning E P Search for anything 812 AM 11/25/2020 hp brt se delete home end pg up 共 %24 4 2. 3 6 9 +] 8 + backspace num lock Q E R T Y 8. home G H K enter 4 pause V M t shift 2 end alt talt ctri ins
An industrial plant wants to determine which of two types of fuel, electric or gas, is more cost efficient (measured in cost per unit of energy). Independent random samples were taken of plants using electricity and plants using gas. These samples consisted of 7 plants using electricity, which had a mean cost per unit of $64.13 and standard deviation of $8.32, and 12 plants using gas, which had a mean of $60.30 and standard deviation of $8.52. Assume that the populations of costs per unit are normally distributed for each type of fuel, and assume that the variances of these populations are equal. Can we conclude, at the 0.10 level of significance, that u,, the mean cost per unit for plants using electricity, differs from u, the mean cost per unit for plants using gas? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the table. (If necessary, consult a list of formulas.)…
Community college instructors' salaries in one state are very low, so low that educators in that state regularly complain about their compensation. The national mean is $57,636$⁢57,636, but instructors from Mississippi claim that the mean in their state is significantly lower. They survey a simple random sample of 3737 colleges in the state and calculate a mean salary of $52,534$⁢52,534 with a standard deviation of $15,791$⁢15,791. Test the instructors' claim at the 0.050.05 level of significance. Step 3 of 3 : Draw a conclusion and interpret the decision.
A technician compares repair costs for two types of microwave ovens (type I and type II). He believes that the repair cost for type I ovens is greater than the repair cost for type Il ovens. A sample of 58 type I ovens has a mean repair cost of $84.57, with a standard deviation of $12.03. A sample of 72 type |l ovens has a mean repair cost of $81.69, with a standard deviation of $11.91. Conduct a hypothesis test of the technician's claim at the 0.1 level of significance. Let u be the true mean repair cost for type I ovens and uz be the true mean repair cost for type II ovens. Step 3 of 4: Determine the decision rule for rejecting the null hypothesis Hg. Round the numerical portion of your answer to two decimal places. E Tables E Keypad Answer Keyboard Shortcuts Previous Step Answers Reject Ho if Tutor Skip Try Similar Submit Answer O 2020 Hawkes Learning MacBook Air esc 80 888 F3 F4 FS F10 F11 F12 ! $ & + 1 2 3 6 8. 9 delete W R Y U { tab [ A F H J K s lock returr C V control option…