Question 4A researcher conducts an independent-samples t test comparing two group means of11.3 and 12.7. She also obtains values of 2.2 for sdifference 4.64 for pooled variance,and 40 for degrees of freedom total. What decision should she make based on thesedata?O Fail to reject the null hypothesis, these groups are the same.Reject the null hypothesis, group one is superior to group two.Reject the null hypothesis, there is something different about these groups.Fail to reject the null hypothesis, we cannot say if these groups are different.

From the above options "OPTION D" is correct ie, fail to reject the null hypothesis,we cannot say if…

Answered: ruestion 4 A researcher conducts an…

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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Consider the two sample t-test with equal variances and the paired t-test. These tests are equivalent to which experimental designs. State the designs and draw detailed comparison between them.
how to find the Variance for CBT and variance for BT，show step by step please
Suppose that you want to test the mean of two populations whose variance is known. Your sample size is large and yo do not have any information about α significance level. Explain how you made this decision. If your test is right tail and test statistics value is 3.12 then what would be the P-value and your decision accordingly?
A study of seat belt users and nonusers yielded the randomly selected sample data summarized in the accompanying table. Use a 0.05 significance level to test the claim that the amount of smoking is independent of seat belt use. A plausible theory is that people who smoke are less concerned about their health and safety and are therefore less inclined to wear seat belts, Is this theory supported by the sample data? BB Click the icon to view the data table. Determine the null and alternative hypotheses. O A. Ho: The amount of smoking is dependent upon seat belt use. H₁: The amount of smoking is not dependent upon seat belt use. O B. Ho: Heavy smokers are not less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are less likely than non-smokers to wear a seat belt. OC, Ho: Heavy smokers are less likely than non-smokers to wear a seat belt. H₁: Heavy smokers are not less likely than non-smokers to wear a seat belt. O D. Ho: The amount of smoking is independent of seat belt…
Which of the following conclusions is correct for these test results? > bartlett.test(len~river, data=rivers) Bartlett test of homogeneity of variances data: len by river Bartlett's K-squared = 0.61394, df = 4, p-value = 0.5226 %3D Hint* the first line of code should tell you the type of test you are dealing with. There is NO significant difference in variances among the rivers. There is a significant difference in variances among the rivers. There is NO significant difference in means among the rivers.
In a comparison between the mean waiting time of the patients in the hospitals of Giza and Alexandria governments the minister of Health randomly selected 60 hospitals from Giza government and their mean waiting time was 30 minutes and the previous reports showed that the variance was 10 minutes. Also a sample consist of 50 hospitals from Alexandria governments was selected and their mean waiting time of this sample was 15 minutes and from previous reports the variance was 5 minutes. 1-Construct the 95% C.I for the difference between the average waiting time in Giza & Alex2- Without any computations, discuss fully and precisely what will happen to the results you obtained in part (1) if the confidence level changed to be 99% instead of 95%. Give the reason for your answer
A researcher wants to know if mood is affected by music. She conducts a test on a sample of 4 randomly selected adults and measures mood rating before and after being exposed to classic rock music. Test the hypothesis that mood rating decreased after being exposed to classic rock music. The mood ratings for the four participants are provided. Assume that all conditions for testing have been met. Report the null and alternative hypothesis and p-value. At the 1% significance level, state the decision regarding the null hypothesis and the conclusion about the original claim. Round all values to the nearest thousandth. Click the icon to view the mood ratings. OA. Ho Hdifference =0, Ha Hdifference >0; p=0.373; Reject the null hypothesis; there is strong evidence to suggest that exposure to classic rock music decreased mood rating. B. Ho Hdifference =0, Ha Hdifference >0; p=0.373; Fail to reject the null hypothesis; there is not strong evidence to suggest that exposure to classic rock music…
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