Need help Does this JMP output allow us to conclude that we have equal variances?TestF RatioDFNum DFDen4.32924.42134.49514.56043.9147O'Brien[.5]Brown-ForsytheLeveneBartlettF Test 2-sided1221 22122111p-Value0.0493*0.04720.0455*0.0327*11 0.0327*No, because the p-value is less than 0.10.Yes, because the p-value is greater than 0.10.Yes, because the p-value is less than 0.10.No, because the p-value is greater than 0.10.

It is required to identify the correct option regarding the conclusion of the test regarding the…

Answered: Does this JMP output allow us to…

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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Similar questions

An engineer has designed a valve that will regulate water pressure on an automobile engine. The valve was tested on 130 engines and the mean pressure was4.4lbs/square inch. Assume the variance is known to be 0.49 . If the valve was designed to produce a mean pressure of4.3lbs/squareinch, is there sufficient evidence at the 0.02 level that the valve performs above the specifications? State the null and alternative hypotheses for the above scenario.
In 2003, Major League Baseball took steps to speed up the paly of baseball games and make games a more consistent duration. In a sample of 46 games in 2002, the average duration of a game was 2 hours and 58 minutes with a standard deviation of 37 minutes. A similar survey in 2003 of 54 games found that the average duration was 2 hours and 40 minutes with a standard deviation of 22 minutes. When testing the hypothesis (at the 5% level of significance) that the variance has been reduced, what is the test statistic? (please round your answer to 2 decimal places)
AUA wants to determine whether the mean cumulative GPA, CGPA is significantly different among undergraduate and graduate students (Sheet 31). They collect data on several undergraduate and graduate students. What can they conclude at alpha=0.05? Select one: a. t(stat)=2.56, which is greater than t(cr)=1.68, therefore, we can conclude that there is significant difference in mean CGPAs b. Assuming unequal variances, t(stat)=2.56, which is greater than t(cr)=2.02, therefore, we can conclude that there is significant difference in mean CGPAs c. t(stat)=1.15, which is less than t(cr)=2.12, therefore, we can conclude that there is no significant difference in mean CGPAs d. Assuming equal variances, t(stat)=2.56, which is greater than t(cr)=2.02, therefore, we can conclude that there is significant difference in mean CGPAs
a manufacturing company produces gears that, in accordance with the standard operating procedure, need to have a standard deviation of at least 5.18 mm in diameters. A random sample of 24 gears is chosen from the population of those items that have been manufactured on a certain day, and found to have a variance of 36.24 mm2. At 0.5% significance level, test the hypothesis and indicate if the standard operating procedure is violated.
A research tea believes that the weight of Grizzly adule male bears are normally distributed. A simple random saple of 23 Grizzly male bears yielded a mean weight of 277kg and a variance of 121. Let μ denote the mean weight for Grizzly adult male bears. Suppose the research teams wants to test, at the 5 % level of significance, whether the mean weight for Grizzly adult male bears is greater than 271kg. Suppose the assumptions to this hypothesis test are satisifed. d) what is the observed test statistic for hypothesis test? e) What is the correct conclusion for this hypothesis test? Since the observed test statistic is greater than the critical value we reject do not H0, at the 5% level of significance Since the observed test statistic is greater than the critical value we reject H0 at the 5% level of significance Since the observed test statistic is less than the critical value we do not reject H0 at the 5% level of significance Since the observed test statistic is less than the…

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