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A recent study compared two different treatments for repairing a torn knee ligament. The subjects were 32 active, young adult volunteers who had acute knee ligament injuries. They were randomly divided into two groups: Group A received physical therapy and surgery, while Group B received only physical therapy. No group received a fake surgery. Evaluators who were aware of which patients were in which group rated the subjects on knee strength, stability, flexibility, etc., over a two-year period and found that both groups said that they felt better, but there were no significant differences on any measure between the two groups.

A recent study compared two different treatments for repairing a torn knee ligament. The subjects were 32 active, young adult volunteers who had acute knee ligament injuries. They were randomly divided into two groups: Group A received physical therapy and surgery, while Group B received only physical therapy. No group received a fake surgery. Evaluators who were aware of which patients were in which group rated the subjects on knee strength, stability, flexibility, etc., over a two-year period and found that both groups said that they felt better, but there were no significant differences on any measure between the two groups.

MATLAB: An Introduction with Applications
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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Research Study A recent study compared two different treatments for repairing a torn knee ligament. The subjects were 32 active, young adult volunteers who had acute knee ligament injuries. They were randomly divided into two groups: Group A received physical therapy and surgery, while Group B received only physical therapy. No group received a fake surgery. Evaluators who were aware of which patients were in which group rated the subjects on knee strength, stability, flexibility, etc., over a two-year period and found that both groups said that they felt better, but there were no significant differences on any measure between the two groups. Question Since there were only 32 subjects in this study, after the random division, out of the 16 people in group A, only 5 of them were female. What's the best method that the researcher could use to prevent this? The researcher could "block" the subjects based on gender first, then randomly assign half of the males to (a) Group A and half to Group B. They would then do the same thing with the females. O (b) The researcher could allow the subjects to decide if they want to be in Group A or Group B. O (c) The researcher could hand pick the groups to have an equal number of males and females. (d) There is nothing that the researcher could do. They're just going to have to use the groups that they got.
Transcribed Image Text:Research Study A recent study compared two different treatments for repairing a torn knee ligament. The subjects were 32 active, young adult volunteers who had acute knee ligament injuries. They were randomly divided into two groups: Group A received physical therapy and surgery, while Group B received only physical therapy. No group received a fake surgery. Evaluators who were aware of which patients were in which group rated the subjects on knee strength, stability, flexibility, etc., over a two-year period and found that both groups said that they felt better, but there were no significant differences on any measure between the two groups. Question Since there were only 32 subjects in this study, after the random division, out of the 16 people in group A, only 5 of them were female. What's the best method that the researcher could use to prevent this? The researcher could "block" the subjects based on gender first, then randomly assign half of the males to (a) Group A and half to Group B. They would then do the same thing with the females. O (b) The researcher could allow the subjects to decide if they want to be in Group A or Group B. O (c) The researcher could hand pick the groups to have an equal number of males and females. (d) There is nothing that the researcher could do. They're just going to have to use the groups that they got.
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