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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. a.) Step 1: State the Hypotheses H₂: H₂: Injection Type Control m₁-8 M=10.4 SS₁-1.65 Ketamine M-9.55 SS₂-1.87 b.) Step 2: Determine the critical region and draw it on the distribution above: df= _____ *critical = = تم c.) Step 3: Calculate the test statistic using the provided sample data: SM₁-M₂= tobs = d.) Step 4: Make a decision. Circle one: Reject Null (Ho) or e.) State your conclusions about the research scenario in sentence form: Fail to Reject Null (Ho) f.) Calculate an effect size in terms of the variance account for (2)? Do you characterize it as being small, medium or large?

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. a.) Step 1: State the Hypotheses H₂: H₂: Injection Type Control m₁-8 M=10.4 SS₁-1.65 Ketamine M-9.55 SS₂-1.87 b.) Step 2: Determine the critical region and draw it on the distribution above: df= _____ *critical = = تم c.) Step 3: Calculate the test statistic using the provided sample data: SM₁-M₂= tobs = d.) Step 4: Make a decision. Circle one: Reject Null (Ho) or e.) State your conclusions about the research scenario in sentence form: Fail to Reject Null (Ho) f.) Calculate an effect size in terms of the variance account for (2)? Do you characterize it as being small, medium or large?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2AGP
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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. a.) Step 1: State the Hypotheses Ho: H₁: Injection Type *critical SM₁-M₂ Control 1₁-8 M=104 SS₁-1.65 b.) Step 2: Determine the critical region and draw it on the distribution above: df = Ketamine -6 M-9.55 SS₂ -1.87 c.) Step 3: Calculate the test statistic using the provided sample data: tobs = d.) Step 4: Make a decision. e.) State your conclusions about the research scenario in sentence form: Circle one: Reject Null (Ho) or Fail to Reject Null (Ho) f.) Calculate an effect size in terms of the variance account for (²2)? Do you characterize it as being small, medium or large?
Transcribed Image Text: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. a.) Step 1: State the Hypotheses Ho: H₁: Injection Type *critical SM₁-M₂ Control 1₁-8 M=104 SS₁-1.65 b.) Step 2: Determine the critical region and draw it on the distribution above: df = Ketamine -6 M-9.55 SS₂ -1.87 c.) Step 3: Calculate the test statistic using the provided sample data: tobs = d.) Step 4: Make a decision. e.) State your conclusions about the research scenario in sentence form: Circle one: Reject Null (Ho) or Fail to Reject Null (Ho) f.) Calculate an effect size in terms of the variance account for (²2)? Do you characterize it as being small, medium or large?
A researcher conducts a between-subjects study to determine whether low levels of the neurochemical serotonin leads to an increase in aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Using an alpha level of a = .05, the researcher then tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows: a.) Step 1: State the Hypotheses Ho: H₁: Control n = 10 M = 14 SS=180.5 b.) Step 2: Determine the critical region and draw it on the distribution above: df = > *critical SM₁-M₂ Low Serotonin n = 15 M = 19 SS = 130.0 c.) Step 3: Calculate the test statistic using the provided sample data: tobs d.) Step 4: Make a decision. Circle one: Reject Null (Ho) or Fail to Reject Null (Ho) e.) State your conclusions about the research scenario in sentence form: d= f.) What is the estimated effect size (Cohen's d) in this study? Do you characterize it as being small, medium or large?
Transcribed Image Text:A researcher conducts a between-subjects study to determine whether low levels of the neurochemical serotonin leads to an increase in aggression. One sample of rats serves as a control group and receives a placebo that does not affect normal levels of serotonin. A second sample of rats receives a drug that lowers brain levels of serotonin. Using an alpha level of a = .05, the researcher then tests the animals by recording the number of aggressive responses each of the rats display. The data are as follows: a.) Step 1: State the Hypotheses Ho: H₁: Control n = 10 M = 14 SS=180.5 b.) Step 2: Determine the critical region and draw it on the distribution above: df = > *critical SM₁-M₂ Low Serotonin n = 15 M = 19 SS = 130.0 c.) Step 3: Calculate the test statistic using the provided sample data: tobs d.) Step 4: Make a decision. Circle one: Reject Null (Ho) or Fail to Reject Null (Ho) e.) State your conclusions about the research scenario in sentence form: d= f.) What is the estimated effect size (Cohen's d) in this study? Do you characterize it as being small, medium or large?
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