Assume we are given the below details to test if population A has a larger variance than population B Population A : sample variance = 8 , sample size = 10 Population B: sample variance = 5, sample size = 9 At the 90% level confidence, your conclusion is: Select one: O a. P-value <0.1, reject the null hypothesis O b. P-value >0.1, reject the null hypothesis C C. P-value < 0.1, fail to reject the null hypothesis O d. P-value >0.1, fail to reject the null hypothesis

Assume we are given the below details to test if population A has a larger variance than population B Population A : sample variance = 8 , sample size = 10 Population B: sample variance = 5, sample size = 9 At the 90% level confidence, your conclusion is: Select one: O a. P-value <0.1, reject the null hypothesis O b. P-value >0.1, reject the null hypothesis C C. P-value < 0.1, fail to reject the null hypothesis O d. P-value >0.1, fail to reject the null hypothesis

Name: 38Assume we are given the below details to test if population A has a
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Description: 38Assume we are given the below details to test if population A has a larger variance than population BdPopulation A: sample variance = 8 , sample size = 10put ofPopulation B: sample variance = 5, sample size = 9At the 90% level confidence, your con

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 two-sample hypothesis test is comparing the averages of the following populations. Population 1 is the salary of female employees and Population 2 is the salary of male employees. A hypothesis test was conducted to see if the average salary of males is greater than the average salary of females. Using the following as the output of the test, state the P-value and interpret the results in context to the problem. Use a significance level of 5% Mean Variance Observations Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Females Males 65,852.00 89,562.00 1,003.00 1,025.00 45 30 0 37 -1.26 0.1200 1.3300 0.2400 1.2800 For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt EEVA V Tx XQ5 二三 ||||| WORDS POWERED BY TINY
In the Izmir University of Economics, a professor claims that exam scores for non-accounting majors are more variable than for accounting majors. Random samples of 30 non-accounting majors and 30 accounting majors are taken from a final exam held on 2019. Test at the 5% level the null hypothesis that the two population variances are equal against the alternative that the true variance is higher for the non-accounting majors. Assume the populations are normally distributed. s = 1584.272 ny = 30 s = 400.495 Non-Accounting n = 30 Accounting To test the professor's claim, identify the null and alternative hypotheses. The null hypothesis is represented by H, and the alternative hypothesis is represented by H,. Choose the correct answer below. O A. Ho: o 2 O B. Ho: o = OD. Ho: o =0 H,: o
A study was performed concerning risk factors for carotid-artery stenosis (arterial narrowing) among 264 men. The data reported is: Sample size Mean Standard deviationGroup 1: No stenosis 156 5.3 1.4Group 2: Stenosis 108 5.1 0.8 The test stastistic F is assumed to be 3.06 to check the equal variance. Question: Suppose researchers want to test if there is a significant difference in mean blood-glucose level between men with and without stenosis considering the critical F test is 1.35 with a equal variance (pooled), what is the test statistic for this test ?
I'm stuck on D because I'm having a hard time with P-value.
Two different types of catalysts are used in a chemical process. We want to conduct a hypothesis test to see if there is a difference in the yields at 5% significance level. Assume both populations are normaly distributed. To this end, we collect a simple random sample from each process. Assume equal variances. = = n-11, n=13,x,-90, x 91.4, 8, 4, 8=4.5
i need help finding the pooled variance , estimated standard error, and the t statistics
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