A sample mean, sample standard deviation, and sample size are given. Use the one-mean t-test to perform the required hypothesis test about the mean, µ, of the population from which the sample was drawn. Use the critical-value approach. 9) x = 40.9, s = 6.5, n = 15, Ho :P = 32.6, H : p 32.6, a = 0.05. a

A sample mean, sample standard deviation, and sample size are given. Use the one-mean t-test to perform the required hypothesis test about the mean, µ, of the population from which the sample was drawn. Use the critical-value approach. 9) x = 40.9, s = 6.5, n = 15, Ho :P = 32.6, H : p 32.6, a = 0.05. a

Name: 8) x = 20.5, n = 11,o = 7.1, H0: µ = 18.7; Ha: H = 18.7, a = 0.01A sa
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Description: 8) x = 20.5, n = 11,o = 7.1, H0: µ = 18.7; Ha: H = 18.7, a = 0.01A sample mean, sample standard deviation, and sample size are given. Use the one-mean t-test to perform the requiredhypothesis test about the mean, µ, of the population from which the

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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2. The strength of steel wire made by an existing process is normally distributed with a mean of 1550 and a standard deviation of 170. A batch of wire is made by a new process, and a random sample consisting of 25 measurements gives an average strength of 1316. Assume that the standard deviation does not change. Is there evidence at the 1% level of significance that the new process gives a larger mean strength than the old? To answer this question, the alternative hypothesis could be stated as A. µ = 1550 psi B. µ > 1550 psi C. µ ≠ 1550 psi D. µ < 1550 psi
A common characterization of obese individuals is that their body mass index is at least 30 [BMI = weight/(height)2, where height is in meters and weight is in kilograms]. An article reported that in a sample of female workers, 269 had BMIs of less than 25, 156 had BMIs that were at least 25 but less than 30, and 121 had BMIs exceeding 30. Is there compelling evidence for concluding that more than 20% of the individuals in the sampled population are obese? (c) What is the probability of not concluding that more than 20% of the population is obese when the actual percentage of obese individuals is 23%? (Round your answer to four decimal places.)
2. A manufacturer of metal fasteners expects to ship an average of 1197.00 boxes of fasteners per day. A random sample of 65 days produced a mean of 1193.69 boxes per day with a standard deviation of 3.3166 boxes per day. Does evidence exist showing the average number of boxes shipped per dayis different from 1197.00, using alpha=10%? If it is different from 1197.00 then the manufacturer stops. d) Find the critical value and rejection region (R.R).e) State your conclusion based on the p-value and the rejection region.
4. What is the critical value of a right-tailed test where the computed t-value is 1.55, n=15, and α=0.01? 5. What conclusion can be made when the null hypothesis of a chi square test for independence is rejected? 6. A milk powder is sold in packets with an advertised mean weight of 1.5kgs. The standard deviation is known to be 184 grams. A consumer group wishes to check the accuracy of the advertised mean and takes a sample of 52 packets finding an average weight of 1.49kgs. What is the set of hypotheses that should be used to test the accuracy of advertised weight?
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In an Omani factory, a machine that produces "W-product" has been set so that the true average diameter of the "W-product" it produces is 0.602 in. If its diameter is within 0.04 in. of this target value, this is acceptable. Suppose, however, that the setting has changed during the course of production, so that the products have normally distributed diameters with mean value 0.601 in. and standard deviation 0.002 in. What percentage of the "W-product" produced will not be acceptable
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The sample mean and standard deviation from a random sample of 32 observations from a normal population were computed asx =25 and s = 10. Calculate the t statistic of the test required to determine whether there is enough evidence to infer at the 8% significance level that the population mean is greater than 22.Test Statistic =