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 43 type I ovens has a mean repair cost of $70.15, with a standard deviation of $20.62. A sample of 57 type Il ovens has a mean repair cost of $65.36, with a standard deviation of $22.21. Conduct a hypothesis test of the technician's claim at the 0.05 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. 画 Tables E Keypad Answer Keyboard Shortcuts Ho Hi *AV NV

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 43 type I ovens has a mean repair cost of $70.15, with a standard deviation of $20.62. A sample of 57 type Il ovens has a mean repair cost of $65.36, with a standard deviation of $22.21. Conduct a hypothesis test of the technician's claim at the 0.05 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. 画 Tables E Keypad Answer Keyboard Shortcuts Ho Hi *AV NV

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Description: CorrectIncorrectA technician compares repair costs for two types of microwave ovens (type l 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 43 type I ovens has a mean repa

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Researchers conducted an experiment to test the effects of alcohol. Errors were recorded in a test of visual and motor skills for a treatment group of 22 people who drank ethanol and another group of 22 people given a placebo. The errors for the treatment group have a standard deviation of 2.30, and the errors for the placebo group have a standard deviation of 0.74. Use a 0.05 significance level to test the claim that the treatment group has errors that vary significantly more than the errors of the placebo group. Assume that the two populations are normally distributed. => Identify the test statistic. (Round to two decimal places as needed.) Use technology to identify the P-value. (Round to three decimal places as needed.) What is the conclusion for this hypothesis test? reject/fail to reject?
Location is known to affect the number, of a particular item, sold by HEB Pantry. Two different locations, A and B, are selected on an experimental basis. Location A was observed for 18 days and location B was observed for 18 days. The number of the particular items sold per day was recorded for each location. On average, location A sold 39 of these items with a sample standard deviation of 9 and location B sold 55 of these items with a sample standard deviation of 6. Does the data provide sufficient evidence to conclude that the true mean number of sales at location A exceeds the true mean number of sales at location B at the 0.01 level of significance? Select the [Alternative Hypothesis, Value of the Test Statistic]. a) [μ1 − μ2 ≠ 0, t = −6.276] b) [μ1 − μ2 = 0, -6.277] c) [μ1 − μ2 ≠ 0, -0.6277] d) [μ1 − μ2 > 0, t = −6.276] e) [μ1 − μ2 < 0, t = −6.276] f) None of the above
Researchers conducted an experiment to test the effects of alcohol. Errors were recorded in a test of visual and motor skills for a treatment group of 21 people who drank ethanol and another group of 21 people given a placebo. The errors for the treatment group have a standard deviation of 2.40, and the errors for the placebo group have a standard deviation of 0.83. Use a 0.05 significance level to test the claim that the treatment group has errors that vary significantly more than the errors of the placebo group. Assume that the two populations are normally distributed. What are the null and alternative hypotheses? A. Ho: σ 1 2 ≠ σ 2 2 H1:σ 1 2= σ 2 2 B. Ho: σ 1 2= σ 2 2 H1: σ 1 2> σ 2 2 C. Ho: σ 1 2= σ 2 2 H1: σ 1 2< σ 2 2 D. Ho: σ 1 2= σ 2 2 H1: σ 1 2≠ σ 2 2 Identify the test statistic. ________________ (Round to two decimal places as needed.) Use technology to identify the P-value. ______________ (Round to three decimal places as needed.) What…
In a test of the effectiveness of garlic for lowering cholesterol, 36 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.1 and a standard deviation of 21.2. Use a 0.01 significance level to test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment? Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim. What are the null and alternative hypotheses? B. Ho: μ=0 mg/dL ⒸA. Ho: μ = 0 mg/dL H₁: μ#0 mg/dL H₁: μ 0 mg/dL H₁: μ> 0 mg/dL H₁: <0 mg/dL Determine the test statistic. (Round to two decimal places as needed.) Determine the P-value. (Round to three decimal places as needed.)
The Robotics Manufacturing Company operates an equipment repair business where emergency jobs arrive randomly at the rate of two jobs per 8-hour day. The company's repair facility is a single - server system operated by a repair technician. The service time varies, with a mean repair time of 3.2 hours and a standard deviation of 2.0 hours. The company's cost of the repair operation is $27 per hour. In the economic analysis of the waiting line system, Robotics uses $37 per hour cost for customers waiting during the repair process. (a) What are the arrival rate and service rate in jobs per hour? (Round your answers to four decimal places.) Show the operating characteristics. (Round your answers to four decimal places. Report time in hours.) Show the total cost per hour. (Express the total cost per hour in dollars. Round your answer to the nearest cent.) The company is considering purchasing a computer-based equipment repair system that would enable a constant repair time of 3.2 hours.…
Insurance Company A claims that its customers pay less for car insurance, on average than customers of its competitor, Company B. You wonder if this is true, so you decide to compare the average monthly costs of similar insurance policies from the two companies. For a random sample of 11 people who buy insurance from Company A, the mean cost is $⁢150 per month with a standard deviation of $⁢14. For 14 randomly selected customers of Company B, you find that they pay a mean of $⁢158 per month with a standard deviation of $⁢12. Assume that both populations are approximately normal and that the population variances are equal to test Company A’s claim at the 0.10 level of significance. Let customers of Company A be Population 1 and let customers of Company B be Population 2. Step 2 of 3 : Compute the value of the test statistic. Round your answer to three decimal places.
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, but instructors from Mississippi claim that the mean in their state is significantly lower. They survey a simple random sample of 37 colleges in the state and calculate a mean salary of $52,534 with a standard deviation of $15,791. 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. E Tables E Keypad Answer Keyboard Shortcuts
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 Il 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 u2 be the true mean repair cost for type Il ovens. Step 3 of 4: Determine the decision rule for rejecting the null hypothesis Ho. 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 2020 Hawlkes Learning MacBook Air esc DII F9 F10 F11 %23 & 1 2 3 4 6 8 delete W R Y U { } tab P G H J K L caps lock return C V N M ? st control option…
In a test of the effectiveness of garlic for lowering cholesterol, 36 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes (before minus after) in their levels of LDL cholesterol (in mg/dL) have a mean of 0.7 and a standard deviation of 23.1. Use a 0.01 significance level to test the claim that with garlic treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic treatment? Assume that a simple random sample has been selected. Identify the null and alternative hypotheses, test statistic, P-value, and state the final conclusion that addresses the original claim.
# 3. Use Minitab to simulate 1000 rolls of five dice. Find the number of times that the sum of the five dice is exactly 20. Enter that value here. frequency approach to estimate the probability of getting a 20 when five dice are rolled. Enter the estimated probability here. Based on that result, use the relative Write a sentence or two explaining the difference (advantage or disadvantage) of the classical approach to probability compared to the relative frequency approach to probability. Refer to the results from #1, 2, 3 above in your explanation.
A bridal gown shop owner owns a store in San Francisco and a store in Redwood city. She is trying to figure out if clients tend to spend the same amount at both stores. She takes a random sample of 25 purchases from each store, and find the San Francisco store has a mean amount spent of $2500 with a standard deviation of $1500. The Redwood City store has a mean amount spent of $2000 with a standard deviation of $1000. Use a significance level of 10% to determine if the clients at the two stores spend the same amounts. State: Plan: Do: Conclude:
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 6060 type I ovens has a mean repair cost of $77.22$⁢77.22, with a standard deviation of $22.46$⁢22.46. A sample of 6565 type II ovens has a mean repair cost of $73.73$⁢73.73, with a standard deviation of $10.62$⁢10.62. Conduct a hypothesis test of the technician's claim at the 0.10.1 level of significance. Let μ1μ1 be the true mean repair cost for type I ovens and μ2μ2 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.