A researcher is testing the effect of marijuana use on reaction time. A sample of n = 9 students is obtained and each student is given a dose of marijuana. Thirty minutes later, each student's reaction time is measured in a driving simulator. The scores for the sample of students averaged M = 211 milliseconds with SS = 1152. Assuming that reaction time for students in the regular population averages μ = 200 milliseconds, are the data sufficient to conclude that the medication has a significant effect on reaction time? Test at the .05 level of significance. Which of the four options below is the best answer? Type the letter “A” or “B” etc. in the box Option A. Accept the null, marijuana has no effect on reaction time Option B. Accept the null, marijuana does affect reaction time Option C. Reject the null, marijuana has no effect on reaction time Option D. Reject the null, marijuana does affect reaction time Compute r 2, the percentage of variance explained by the treatment effect. (Round the answer to three decimal places.) r 2 = Is this a small, medium, or large effect size? Type “small” , “medium”, or “large” in the box
A researcher is testing the effect of marijuana use on reaction time. A sample of n = 9 students is obtained and each student is given a dose of marijuana. Thirty minutes later, each student's reaction time is measured in a driving simulator. The scores for the sample of students averaged M = 211 milliseconds with SS = 1152. Assuming that reaction time for students in the regular population averages μ = 200 milliseconds, are the data sufficient to conclude that the medication has a significant effect on reaction time? Test at the .05 level of significance. Which of the four options below is the best answer? Type the letter “A” or “B” etc. in the box Option A. Accept the null, marijuana has no effect on reaction time Option B. Accept the null, marijuana does affect reaction time Option C. Reject the null, marijuana has no effect on reaction time Option D. Reject the null, marijuana does affect reaction time Compute r 2, the percentage of variance explained by the treatment effect. (Round the answer to three decimal places.) r 2 = Is this a small, medium, or large effect size? Type “small” , “medium”, or “large” in the box
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.5: Iterative Methods For Solving Linear Systems
Problem 20EQ
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A researcher is testing the effect of marijuana use on reaction time. A sample of n = 9 students is obtained and each student is given a dose of marijuana. Thirty minutes later, each student's reaction time is measured in a driving simulator. The scores for the sample of students averaged M = 211 milliseconds with SS = 1152. Assuming that reaction time for students in the regular population averages μ = 200 milliseconds, are the data sufficient to conclude that the medication has a significant effect on reaction time? Test at the .05 level of significance. Which of the four options below is the best answer? Type the letter “A” or “B” etc. in the box
Option A. Accept the null, marijuana has no effect on reaction time
Option B. Accept the null, marijuana does affect reaction time
Option C. Reject the null, marijuana has no effect on reaction time
Option D. Reject the null, marijuana does affect reaction time
Compute r 2, the percentage of variance explained by the treatment effect. (Round the answer to three decimal places.) r 2 =
Is this a small, medium, or large effect size? Type “small” , “medium”, or “large” in the box
Option A. Accept the null, marijuana has no effect on reaction time
Option B. Accept the null, marijuana does affect reaction time
Option C. Reject the null, marijuana has no effect on reaction time
Option D. Reject the null, marijuana does affect reaction time
Compute r 2, the percentage of variance explained by the treatment effect. (Round the answer to three decimal places.) r 2 =
Is this a small, medium, or large effect size? Type “small” , “medium”, or “large” in the box
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