1. The same clinician who was interested in the possibility of using ketamine to treat depression is conducting a follow-up study. This time she uses a between-subjects experimental design (comparing a treatment group to a control group). She injects a sample of n= 6 depressed individuals with ketamine and injects a second sample of n = 8 with a saline solution. She administers Chapman's Revised Physical Anhedonia Scale (Chapman & Chapman, 1978; remember high scores mean less pleasure seeking) to both groups and compares their scores using an alpha level of a = .01. She predicts that the ketamine will again significantly lower the treatment sample's mean Anhedonia score. The data is presented below. Step 1: State the Hypotheses Ho: H₁: Injection Type Control SM₁-M₂ M-10.4 SS₁ -1.65 Ketamine M-9.55 $$; -1.87 Step 2: Determine the critical region and draw it on the distribution above: df= Ắcritical Step 3: Calculate the test statistic using the provided sample data: fobs Step 4: Make a decision. State your conclusions about the research scenario in sentence form: Circle one: Reject Null (H₁) or Fail to Reject Null (H₂) Calculate an effect size in terms of the variance account for (2)? Do you characterize it as being small, medium or large?
1. The same clinician who was interested in the possibility of using ketamine to treat depression is conducting a follow-up study. This time she uses a between-subjects experimental design (comparing a treatment group to a control group). She injects a sample of n= 6 depressed individuals with ketamine and injects a second sample of n = 8 with a saline solution. She administers Chapman's Revised Physical Anhedonia Scale (Chapman & Chapman, 1978; remember high scores mean less pleasure seeking) to both groups and compares their scores using an alpha level of a = .01. She predicts that the ketamine will again significantly lower the treatment sample's mean Anhedonia score. The data is presented below. Step 1: State the Hypotheses Ho: H₁: Injection Type Control SM₁-M₂ M-10.4 SS₁ -1.65 Ketamine M-9.55 $$; -1.87 Step 2: Determine the critical region and draw it on the distribution above: df= Ắcritical Step 3: Calculate the test statistic using the provided sample data: fobs Step 4: Make a decision. State your conclusions about the research scenario in sentence form: Circle one: Reject Null (H₁) or Fail to Reject Null (H₂) Calculate an effect size in terms of the variance account for (2)? Do you characterize it as being small, medium or large?
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:1. The same clinician who was interested in the possibility of using ketamine to treat depression is
conducting a follow-up study. This time she uses a between-subjects experimental design
(comparing a treatment group to a control group). She injects a sample of n = 6 depressed individuals
with ketamine and injects a second sample of n = 8 with a saline solution. She administers
Chapman's Revised Physical Anhedonia Scale (Chapman & Chapman, 1978; remember high scores mean less pleasure
seeking) to both groups and compares their scores using an alpha level of a = .01. She predicts that the
ketamine will again significantly lower the treatment sample's mean Anhedonia score. The data is
presented below.
Step 1: State the Hypotheses
H₂:
H₁:
Injection Type
teritical =
Control
m₂-8
M-10.4
SS₁ -1.65
Ketamine
M=9.55
SS; -1.87
Step 2: Determine the critical region and draw it on the distribution above:
df=
Step 3: Calculate the test statistic using the provided sample data:
SM₁-M₂
toks
Step 4: Make a decision.
State your conclusions about the research scenario in sentence form:
Circle one: Reject Null (Ho) or Fail to Reject Null (Ho)
Calculate an effect size in terms of the variance account for (2)? Do you characterize it as being small,
medium or large?
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