Dear Expert, I need help. The pictures attached are the questions and below is the rest of the part. Thank you very much, t-critical= t= Fail to reject H₀. The mean difference is not significant. Reject H₀. The mean difference is not significant. Reject H₀. The mean difference is significant. Fail to reject H₀. The mean difference is significant. Now assume that the data are from a repeated-measures study using the same sample of n = 9 participants in both treatment conditions. Compute the variance for the sample of difference scores and the estimated standard error for the mean difference. (Hint: This time you should find that removing the individual differences does not reduce the variance or the standard error.)s²= sMDMD= Compute the repeated measures t statistic. Using α = .05, is there a significant difference between the two sets of scores?t-critical= t= Fail to reject H₀. The mean difference is not significant. Fail to reject H₀. The mean difference is significant. Reject H₀. The mean difference is significant. Reject H₀. The mean difference is not significant. M =M =M =SS =SS =SS =Assume that the data are from an independent-measures study using two separate samples, each with n = 9 participants. Compute the pooledvariance and the estimated standard error for the mean difference. (Use three decimal places.)SM1 – M2Compute the independent measures t statistic. Using a = .05, is there a significant difference between the two sets of scores?t DistributionDegrees of Freedom = 11O O-3.0-2.0-1.00.01.02.03.0 21. Gravetter/Wallnau/Forzano, Essentials - Chapter 11 - End-of-chapter question 21The previous problem demonstrates that removing individual differences can substantially reduce variance and lower the standard error. However, thisbenefit occurs only if the individual differences are consistent across treatment conditions. In the previous problem, for example, the participants withthe highest scores in the neutral-word condition also had the highest scores in the swear-word condition. Similarly, participants with the lowest scoresin the neutral-word condition also had the lowest scores in the swear-word condition. The following data consist of the scores in the previous problem,but with the scores in the swear-word condition scrambled to eliminate the consistency of the individual differences.Complete the following table and find M and SsS for each group of scores and for the differences.ParticipantNeutral Word X1Swearing X2Difference D = X2 - X1A5B92D410E1084G67H105I68ΣM =M =M =SS =SS =SS =

Given that Let X1 represent Neural Word and X2 denote the Swearing .... Data is given as paired…

Answered: The previous problem demonstrates that…

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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Dear Expert, I need help. The pictures attached are the questions and below is the rest of the part.

Thank you very much,

t-critical	=
t	=

Fail to reject H₀. The mean difference is not significant.

Reject H₀. The mean difference is not significant.

Reject H₀. The mean difference is significant.

Fail to reject H₀. The mean difference is significant.

Now assume that the data are from a repeated-measures study using the same sample of n = 9 participants in both treatment conditions. Compute the variance for the sample of difference scores and the estimated standard error for the mean difference. (Hint: This time you should find that removing the individual differences does not reduce the variance or the standard error.)