A coin-operated drink machine was designed to discharge a mean of 8 ounces of coffee per cup. In a test ofthe machine, the discharge amounts in 19 randomly chosen cups of coffee from the machine were recorded.The sample mean and sample standard deviation were 7.91 ounces and 0.26 ounces, respectively. If weassume that the discharge amounts are normally distributed, is there enough evidence, at the 0.05 level ofsignificance, to conclude that the true mean discharge, µ, differs from 8 ounces?Perform a two-tailed test. Then fill in the table below.Carry your intermediate computations to at least three decimal places and round your answers as specifiedin the table. (If necessary, consult a list of formulas.)The null hypothesis:Н:хThe alternativeНhypothesis:D=0OSOThe type of test statistic:(Choose one)O#0OOThe value of the teststatistic:(Round to at least threedecimal places.)The two critical values atthe 0.05 level of||and ||significance:(Round to at least threedecimal places.)At the 0.05 level of significance, can weconclude that the true mean dischargeYesNodiffers from 8 ounces?미미

Answered: Image /qna-images/answer/52a62e94-bf24-4259-b4cd-5806233d7802.jpg

Answered: A coin-operated drink machine was…

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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Suppose that water usages in American showers are normally distributed, with an average shower using 20 gallons, and a standard deviation of 3.2 gallons. Estimate the percentage of showers that used (a) between 13.6 and 26.4 gallons. % (b) more than 26.4 gallons. % (c) less than 10.4 gallons. % (d) between 16.8 and 29.6 gallons. %
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The lengths of nails produced in a factory are normally distributed with a mean of 3.343.34 centimeters and a standard deviation of 0.070.07 centimeters. Find the two lengths that separate the top 3%3% and the bottom 3%3%.
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