NOTE: This problem leverages JMP output for conducting a 2-sample t-test and computing a 95% Confidence Interval. I need to email you the attachment to answer this question. Use the Drug dataset in JMP. This file contains results from a research study, assessing the effect of drug treatments A, D, and F on response variable y (larger values are better, i.e. more efficacious). We are only interested in the treatments D and F. Exclude and hide the observations corresponding to treatment group A as follows: highlight the rows corresponding to treatment group A (should be rows 1 through 10), go to the Rows tab on the Menu button, choose Hide and Exclude (or Ctrl + Shift + E). (Another option is to use the Rows tab and choose the option Delete Rows - but don't save your dataset if you do that). We are interested in testing (at alpha = 0.05) the null hypothesis that the mean of y for those patients receiving treatment D is equal to the mean of y for those patients given treatment F. In other words: HO: μ_D = μ_F H1: μ_D!= μ_F Conduct the appropriate statistical test for the above hypothesis test based on your evaluation in Problem 8 (i.e. do you use the t-test corresponding to the one assuming equal variances or the one assuming unequal variances). Give the p -value (write exactly as shown in JMP).
NOTE: This problem leverages JMP output for conducting a 2-sample t-test and computing a 95% Confidence Interval. I need to email you the attachment to answer this question. Use the Drug dataset in JMP. This file contains results from a research study, assessing the effect of drug treatments A, D, and F on response variable y (larger values are better, i.e. more efficacious). We are only interested in the treatments D and F. Exclude and hide the observations corresponding to treatment group A as follows: highlight the rows corresponding to treatment group A (should be rows 1 through 10), go to the Rows tab on the Menu button, choose Hide and Exclude (or Ctrl + Shift + E). (Another option is to use the Rows tab and choose the option Delete Rows - but don't save your dataset if you do that). We are interested in testing (at alpha = 0.05) the null hypothesis that the mean of y for those patients receiving treatment D is equal to the mean of y for those patients given treatment F. In other words: HO: μ_D = μ_F H1: μ_D!= μ_F Conduct the appropriate statistical test for the above hypothesis test based on your evaluation in Problem 8 (i.e. do you use the t-test corresponding to the one assuming equal variances or the one assuming unequal variances). Give the p -value (write exactly as shown in JMP).
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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Transcribed Image Text:NOTE: This problem leverages JMP output for conducting a 2-sample t-test and computing a 95% Confidence Interval.
I need to email you the attachment to answer this question.
Use the Drug dataset in JMP. This file contains results from a research study, assessing the effect of drug treatments A,
D, and F on response variable y (larger values are better, i.e. more efficacious).
We are only interested in the treatments D and F. Exclude and hide the observations corresponding to treatment group
A as follows: highlight the rows corresponding to treatment group A (should be rows 1 through 10), go to the Rows tab
on the Menu button, choose Hide and Exclude (or Ctrl + Shift + E). (Another option is to use the Rows tab and choose
the option Delete Rows - but don't save your dataset if you do that).
We are interested in testing (at alpha = 0.05) the null hypothesis that the mean of y for those patients receiving
treatment D is equal to the mean of y for those patients given treatment F. In other words:
HO: μ_D = μ_F
H1: μ_D!= μ_F
Conduct the appropriate statistical test for the above hypothesis test based on your evaluation in Problem 8 (i.e. do you
use the t-test corresponding to the one assuming equal variances or the one assuming unequal variances). Give the p
-value (write exactly as shown in JMP).
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