A clinician is interested in the effects sertraline has on pleasure seeking activities. She injects asample of n = 15 depressed individuals with the drug and then administers Chapman's RevisedPhysical Anhedonia Scale (Chapman & Chapman, 1978). The anhedonia scale has a population mean of μ =11.25 where higher values equates to less pleasure seeking activities. Testing at an alpha level of a= .01, she predicts the sertraline will significantly lower the sample's mean Anhedonia score.a.) Step 1: State the HypothesesH₂:H₁:b.) Step 2: Determine the critical region and draw it on the distribution above:df =*critical =c.) Step 3: Calculate the test statistic using the sample data below:Score10.59.7511.259.758.7510.511.59.510.259.258.511.59.0010.7510.25M=SM=d.) Step 4: Make a decision.Circle one: Reject Null (Ho)e.) State your conclusions about the research scenario in sentence form:d=ortobs =Fail to Reject Null (Ho)f.) What is the estimated effect size (Cohen's d) in this study? Do you characterize it as being small,medium or large?

Answered: Image /qna-images/answer/383da609-9e54-464c-8c2e-a20ae56d200e.jpg

Answered: A clinician is interested in the…

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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You are testing to see if p1 = .2, p2 = .3 and p3 = .5. You take a sample of size 100 and tind 22 of the first population, 27 of the second population and 51 from the third population. Test Ho : P1 = .2, p2 = .3 and p3 = .5 against H1 : not Ho using alpha = .05.
The director of student services at Oxnard College is interested in whether women are just as likely to attend orientation as men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men Yes 334 367 No 266 370 What can be concluded at the αα = 0.10 level of significance? For this study, we should use Select an answer t-test for a population mean t-test for the difference between two dependent population means t-test for the difference between two independent population means z-test for a population proportion z-test for the difference between two population proportions The test statistic ? z = (please show your answer to 3 decimal places.) The p-value = t (Please show your answer to 4 decimal places.) Using a TI-84 cal
Two separate samples receive two different treatments. The first treatment group (N = 9) has a mean of 50 with SS = 710. The second treatment group (N = 6) has a mean of 60 with SS = 460. Is the second treatment group significantly larger than the first? What is the effect size?
For a population with u = 84 and o = 4, what is the z-score corresponding to X= 80? O -1,00 +1,00 O+1.25 -1.50
A psychologist is studying the effects of lack of sleep on the performance of various perceptual-motor tasks. After a given period of sleep deprivation, a measurement of reaction time to an auditory stimulus was taken for each of 36 adult male subjects. The reaction times (in seconds) are summarized as follows: x = 1.82, s = 0.22 Previous psychological studies show that the true mean reaction time for non-sleep-deprived male subjects is 1.70 seconds. Does the sample evidence indicate that the mean reaction time for sleep-deprived male subjects is longer than that of non-sleep-deprived male subjects ? α = 0.05 (ii) The test statistic for the above problem is
A treatment is administered to a sample selected from a population with a mean of μ = 80 and σ = 10. After the treatment, the sample mean M = 85. Based on this information, the effect size as measured by Cohen’s d is … Select one: a. 5.00 b. 2.00 c. .50 d. impossible to calculate without more information
Which of the following statements correctly describes the effect of increasing the alpha level (for example, from a = .01 to a = .05)? a. This action increases the likelihood of rejecting H0 and increases the risk of a Type I error. b. This action decreases the likelihood of rejecting H0 and increases the risk of a Type I error. c. This action decreases the likelihood of rejecting H0 and increases the risk of a Type II error. d. This action increases the likelihood of rejecting H0 and increases the risk of a Type II error.
Fill in the blanks in the following source tables... Is F significant? If it is significant, at what alpha level?
A company believes that it controls more than 30% of the total market share for one of its products. To prove this belief, a random sample of 144 purchases of this product is contacted. It is found that 50 of the 144 purchases were of this company's brand. If a researcher wants to conduct a statistical test for this problem, the observed z value would be _______. 1.24 0.103 0.35 1.67
A researcher develops a new exercise regimen for influencing muscle strength. The researcher knows that scores on a well-validated measure of muscle strength are normally distributed with µ = 15 and σ = 4. The researcher administers their new exercise regimen to a sample of n = 64 adults who subsequently score M = 16.5 on the measure of muscle strength. Which conclusion can the researcher make based on the results of this research study? a. The new exercise regimen has an effect on muscle strength because the computed z-score reaches the z = ±1.96 threshold. b. The new exercise regimen has an effect on muscle strength because the computed z-score does not reach the z = ±1.96 threshold. c. The new exercise regimen does not have an effect on muscle strength because the computed z-score reaches the z = ±1.96 threshold. d. The new exercise regimen does not have an effect on muscle strength because the computed z-score does not reach the z = ±1.96 threshold.
S-adenosyl methionine (SAM-e) is a naturally occurring compound in human cells that is thought to have an effect on depression symptoms. Suppose that a researcher is interested in testing SAM-e on patients who are struggling with cancer. She obtains a sample of n = 20 patients and asks each person to take the suggested dosage each day for 4 weeks. At the end of the 4-week period, each individual takes the Beck Depression Inventory (BDI), which is a 21-item, multiple-choice self-report inventory for measuring the severity of depression. The scores from the sample produced a mean of M = 24.4 with a standard deviation of s = 6.02. In the general population of cancer patients, the standardized test is known to have a population mean of 27.2. Because there are no previous studies using SAM-e with this population, the researcher doesn't know how it will affect these patients; therefore, she uses a two-tailed single-sample t test to test the hypothesis. From the following, select the correct…
Refer to Exercise 8.S.1. Compare the before and after populations using a t test at α = 0.05. Use a nondirectional alternative.

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