Test the claim that the proportion of men who own cats islarger than 50% at the .005 significance level.The null and alternative hypothesis would be:O Ho:p0.5На:р + 0.50.5Ha:µ + 0.5Ho: HO Ho : HHa:µ > 0.50.5Ho : µ =На: и < 0.50.5О Но:р 3 0.5Ha:p < 0.5О Но:р — 0.5Ha:p > 0.5The test is:right-tailedO left-tailedtwo-tailed

Test the claim that the proportion of men who own cats is larger than 50% at the .005 significance level. The null and alternative hypothesis would be: О Но:р 3D 0.5 Ha:p+ 0.5 Но: д — 0.5 Ha: µ + 0.5 Ο 10: μ = 0.5 Ha:µ > 0.5 Ho: µ = 0.5 Ha:µ < 0.5 Но: р 3 0.5 Ha:p < 0.5 O Ho:p = 0.5 Ha:p > 0.5 The test is: right-tailed left-tailed two-tailed

Test the claim that the proportion of men who own cats is larger than 50% at the .005 significance level. The null and alternative hypothesis would be: О Но:р 3D 0.5 Ha:p+ 0.5 Но: д — 0.5 Ha: µ + 0.5 Ο 10: μ = 0.5 Ha:µ > 0.5 Ho: µ = 0.5 Ha:µ < 0.5 Но: р 3 0.5 Ha:p < 0.5 O Ho:p = 0.5 Ha:p > 0.5 The test is: right-tailed left-tailed two-tailed

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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A random sample of n = 25 individuals is selected from a population with a mean of = 20, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 22.2 with SS=384. a) How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.) b.) If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for M. ? (Note: In a hypothesis test, this value is the denominator of the tstatistic.) c) Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with a = 0.05 .
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Suppose μ1 and μ2 are real average stopping distances at 50 mph of a certain type of car equipped with two different types of braking systems. Use the two-sample t test at the 0.01 significance level to test H0: (μ1 - μ2 = -10) vs. Ha: (μ1 - μ2 < -10) for the following data: m = 6 ; x̄ = 115,7 ; s1 = 5,03 ; n = 6 ; ȳ = 129,3 and s2 = 5,38 . Using the above data and calculating a 95% CI for the difference between the actual average stopping distance of cars equipped with brake system 1 and cars with brake system 2. The calculated range suggests that accurate information about the value of this difference is available? From this information, it is possible to mark the alternative as correct: a) The calculated range is (-13.50, -11.80). With this range, even with values so close, it is not possible to say that precise information is available. b) The calculated range is (-20.40, -6.80). With this interval, even being so wide, it is possible to affirm that accurate information is…
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