08:Pretest 08:Hypothesis Testing15. Formulate the indicated conclusion in nontechnical terms. Be sure to address the original claim.The manufacturer of a refrigerator system for beer kegs produces refrigerators that are supposed to maintain a true mean temperature, µ, of 49°F,ideal for a certain type of German pilsner. The owner of the brewery does not agree with the refrigerator manufacturer, and claims he can prove thatthe true mean temperature is incorrect. Assuming that a hypothesis test of the claim has been conducted and that the conclusion is to reject the nullhypothesis, state the conclusion in nontechnical terms.There is sufficient evidence to support the claim that the mean temperature is different from 49°F.There is not sufficient evidence to support the claim that the mean temperature is different from 49°F.There is sufficient evidence to support the claim that the mean temperature is equal to 49°F.There is not sufficient evidence to support the claim that the mean temperature is equal to 49°F.Description15 of 25Şubmit

It is given that the null hypothesis is rejected.

Answered: 08:Pretest 08:Hypothesis Testing 15.…

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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This activity involves testing a hypothesis about a population mean, μμ We will test a hypothesis about the volumes of Coke, Diet Coke, Pepsi or Diet Pepsi. The claim by the manufacturers is that the average volume of soda is at least 12 ounces. Assume that the population standard deviation, σ,σ,is known to be 0.01 ounces. 1. Decide the significance level you are going to use to test. 2. Determine the mean (average) and the standard deviation of the volume of your soda. 3. Complete the calculations below and graph. Step 1: H0H0: μμ_________________ HαHα: μμ________________ (make sure you put in the appropriate symbols, values and labels) Step 2: α=α=_________________ Step 3: Critical value(s): za=za=_______________ Step 4: Graph, label and shade the critical regions and label the critical values. Step 5: Test statistic (show all steps) : z=x′−μσn√=z=x′−μσn= Calculate: mean:…
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To compare the dry braking distances from 30 to 0 miles per hour for two makes of automobiles, a safety engineer conducts braking tests for 35 models of Make A and 35 models of Make B. The mean braking distance for Make A is 43 feet. Assume the population standard deviation is 4.6 feet. The mean braking distance for Make B is 46 feet. Assume the population standard deviation is 4.5 feet. At α=0.10, can the engineer support the claim that the mean braking distances are different for the two makes of automobiles? Assume the samples are random and independent, and the populations are normally distributed. The critical value(s) is/are Find the standardized test statistic z for μ1−μ2.
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Claim: The mean systolic blood pressure of all healthy adults is less than than 125 mm Hg. Sample data: For 266 healthy adults, the mean systolic blood pressure level is 124.47 mm Hg and the standard deviation is 15.29 mm Hg. The null and alternative hypotheses are Ho: μ = 125 and H₁: µ< 125. Find the value of the test statistic. C The value of the test statistic is. Round to two decimal places as needed.) ple Get more help - A X Question 6 (0/1) ✓ Question 10 (1/1) Question 7 (0.67/1) 4 Clear all Check answe Question 8 (0.67/1)

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