A health psychologist claims that the more final exams a student has during finals weeks, the morestressed they are.They want to test this experimentally by having 6 students receiving additional finals in their fallsemester and then assessing sleep during finals (uį = mu1). Then the same 6 students receive noadditional finals in their spring semester and are assessed on their sleep during finals (u2 = mu2) andthey want to assess if the difference in sleep with additional finals relative to no additional finalswith mu1 - mu2.µ1 = mu1 = Additional finals andµ2 = mu2 = No additional finalsThey get the following data:Additional Final ExamsNo Additional Final Exams886676435459637253588448What would be the mean difference (i.e., the numerator of your t statistic)? Please compute andreport to 4 decimal places.

We need to compute the mean difference for the given data.

Answered: A health psychologist claims that 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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A randomized controlled trial was designed to evaluate the effectiveness of a new drug treatment on 500 patients with high blood pressure. The study randomly divided the patients into the drug treatment and placebo control groups and compared the average blood pressure after 2 months of treatment between the two groups. When the researchers looked at the results, they realized there was a potential problem. Although the new drug appeared to significantly lower the blood pressure compared to the control group, they also noticed that the average blood pressure of patients in the placebo control group prior to the study was significantly lower than patients in the treatment group prior to the study. If this is true, what impact could it have on the conclusions the researchers could draw? a. It wouldn't have an impact on the study result, because the study is already flawed as the patients are not representative of the whole population. b. It could bias the study results, making the…
When only two treatments are involved, ANOVA and the Student’s t-test (Chapter 11) result in the same conclusions. Also, for computed test statistics, t2 = F. To demonstrate this relationship, use the following example. Fourteen randomly selected students enrolled in a history course were divided into two groups, one consisting of six students who took the course in the normal lecture format. The other group of eight students took the course in a distance format. At the end of the course, each group was examined with a 50-item test. The following is a list of the number correct for each of the two groups. Traditional Lecture Distance 39 42 35 36 45 48 35 46 49 43 33 45 42 46 Required:a-1. Complete the ANOVA table. (Round your SS, MS, and F values to 2 decimal places and p-value, F crit to 4 decimal places.) Source of Variation SS df MS F p-value F crit Treatment Error Total a-2. Use a α =…
Mammography and clinical breast examination are the two major techniques used to screen for breast cancer. However, as true for any screening test, they are not completely accurate. If it is determined, based on mammographic findings, that there is a possibility of breast cancer, this is usually confirmed or disconfirmed by a subsequent biopsy. A false positive test is a mammogram positive test that is disconfirmed by biopsy. The data in Table 1 were reported in a paper concerning breast cancer screening (Elmore, et al, New England Journal of Medicine 1998; 338(16): 1089-1096). Table 1 False positive breast cancer screening tests over a 10-year period # Screening tests # False positive tests 9762 631 1. Another aspect of mammographic screening is the presence of false negatives. A false negative is a screen negative woman who has breast cancer. False negatives usually occur because the tumors are small and hard to detect. It is estimated that among women with breast cancer, 2% of all…
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Average IQ scores for young school children are known to be 100 (SD = 15). However, the literature indicates that children’s intelligence may be decreased if their mothers have German measles during pregnancy. Using hospital records, a researcher obtained a sample of n = 25 school children whose mothers all had German measles during their pregnancies. Do the data indicate that children born to mothers who had German measles during the pregnancy have significantly lower IQ scores than typical young school children? DATA (Fictional) child IQ scr 1 91 2 111 3 97 4 95 5 96 6 95 7 95 8 96 9 94 10 93 11 95 12 92 13 96 14 91 15 97 16 93 17 92 18 99 19 93 20 97 21 85 22 94 23 96 24 95 25 96 Looking at the research scenario for this lab, you will see that it says, “ literature indicates that children’s intelligence may…
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