A study conducted by Columbia University compared the cognitive ability of stroke patients three months after they'd been admitted to the hospital with a controlgroup of those who had not had a stroke. The bar graph below is based on the study, and illustrates the number of errors made on a neuropsychological test bythe patients who had had a stroke with those who had not had a stroke.Cognitive Impairment After Stroke70..605040302010Number of Errors MadeControl Group OsStroke PatientsThe information and graph in this problem is based on the report found at http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1072451/pdf/jnnpsyc00032-0074.pdfUse the bar graph to answer the following.a. How many stroke patients made no errors on the test?реopleb. How many total members of the control group made 1, 2, or 3 errors on the test?реoplec. How many fewer people from the control group made 6 errors on the test when compared to the group of stroke patients?peopleFrequency

Answered: Image /qna-images/answer/4189aa30-0e45-4b96-a148-1f16e9403512.jpg

Answered: A study conducted by Columbia…

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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The personality characteristics of business leaders (e.g., CEOs) are related to the operations of the businesses that they lead (Oreg & Berson, 2018). Traits like openness to experience are related to positive financial outcomes and other traits are related to negative financial outcomes for their businesses. Suppose that a board of directors is interested in evaluating the personality of their leadership . Among a sample of n = 16 managers , the sample mean of the openness to experiences dimension of personality was M = 4.50 . Assuming that mu = 4.24 and sigma = 1.05 (Cobb -Clark & Schurer , 2012) , use a two-dailed hypothesis test with alpha = .05 to test the hypothesis that this company's business leaders ' openness to experience is different from the population .
A research study was conducted about gender differences in "sexting." The researcher believed that the proportion of girls involved in “sexting” is less than the proportion of boys involved. The data collected in the spring of 2010 among a random sample of middle and high school students in a large school district in the southern United States is summarized in Table. Is the proportion of girls sending sexts less than the proportion of boys "sexting?" Test at a 1% level of significance. Table 2: Frequency of "sexts" sent by gender Gender Males Females Sent "sexts" 183 156 Total number surveyed 2231 2169
Part 1 of 4 A doctor in Baltimore wants to know whether the average life span for heart disease patients at four hospitals in the city differ. The data below represents the life span, in years, of heart disease patients from each hospital. Perform an ANOVA test with a 7% level of significance to test whether the average life span of heart disease patients in Baltimore differs depending on the hospital that treats them Life Span of Patients Treated at Hospital 1: 12.4, 17.5, 20, 0.1, 1.7, 21.5, 10.8, 7.2, 20.4, 11.5, 8.3, 3.7, 3.1, 3.7, 9.7, 13.2, 11.6, 14.8, 1.2, 5.6, 8.8, 6.2, 7.7, 8.5, 19.5, 2.4, 3.1, 8.3, 8.3, 26.3, 6.3, 16.1 Life Span of Patients Treated at Hospital 2: 9.4, 3.2, 6.4, 8.4, 18.7, 5.5, 21.7, 21.4, 6.5, 6.4, 14.2, 4.3, 16.6, 8.1, 7.5, 3.8, 19.9, 1.1, 1.6, 16.2, 16.6, 4, 11.9, 27.7, 24.9, 0.5, 9.1, 14.7, 8.4, 14.9, 18.1 Life Span of Patients Treated at Hospital 3: 35, 13.7, 3.8, 14.2, 5.7, 15.4, 21.6, 0, 11.9, 7.1, 6.4, 5.4, 17.9, 18.6, 14.3, 4, 10.5, 2.4, 2.5, 6.9,…
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Correlation Results Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05. Correlation coeff, r: 0.974737 Critical r: + 0.2680855 P-value (two tailed): 0.000 ..... Determine the null and alternative hypotheses. Ho: P H1: P (Type integers or decimals. Do not round.)
Twenty samples of students from the first year were taken for the study related to student emotional intelligence (EQ) in a university. The researcher has collected the data for a few variables: gender, academic performance, and emotional intelligence (EQ) test score. EQ Training and Coaching(T & C) Programme EQ Score No Gender CGPA (Before Attend T & C) EQ Score (After Attend T & C) 1 Male 2.10 444 526 2 Female 4.00 780 862 3 Male 2.30 475 557 4 Male 2.40 490 572 5 Female 3.80 755 837 6 Female 3.90 766 848 7 Male 2.70 540 622 Male 3.10 623 705 9 Male 2.90 600 682 10 Male 3.00 620 702 11 Male 2.50 505 590 12 Female 3.20 640 725 13 Male 2.60 523 608 14 Female 3.40 700 785 15 Female 3.50 710 795 16 Female 3.60 726 811 17 Female 3.70 740 825 18 Male 2.80 550 635 19 Female 3.30 685 770 20 Male 2.20 460 545 Table 1 Remarks: (1) Range of CGPA: 0 to 4 (2) Range of EQ Score: 0 to 900 Use the sample data from table 1, perform hypothesis testing to determine whether there is a difference in the…
A study investigating the effect of student gender on poor academic performance (measured as having a grade of B or lower) at the University of Colorado reported that 17% of male students had poor performance and that 11% of female students had poor performance. Given this information, can we determine if there is an association between sex and academic performance? (Choose the one best answer). Group of answer choices Yes, female students have a lower rate of poor academic performance therefore poor academic performance is associated with being a female student. No, male students only have a slightly higher prevalence of poor academic performance compared to female students and therefore there is no association between poor performance and gender. Yes, male students have a higher rate of poor academic performance therefore poor academic performance is associated with being a male student. No, the prevalence values alone cannot be used to assess an association between…
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A colleague is conducting research on adults' job satisfaction as it relates to gender, salary, and level of control felt over the work environment. Your colleague has collected data from a random sample of adults. Salary is measured in thousands of dollars. The control over one's work environment and job satisfaction scales are measured by averaging sets of items on a 0 to 7 point scale range, with low scores representing low control and low job satisfaction and higher scores representing a greater sense of control and job satisfaction. She is particularly interested in the relationship between job satisfaction and the person's perceived level of control. Gender Salary Control Job Satisfaction М 42 5 F 50 2 F 60 5 F 40 3 1 M 50 3 2 M 40 7 3 What are the mean and median levels of control found in her sample? 4, 3.5 47, 46 3.5, 3 О 3, 3.5
Harker and Keltner (2001) examined whether emotional well-being in later life could be predicted from the facial expressions of 141 women in their college yearbook photos. The predictor variable of greatest interest was the " positivity of emotional expression" in the college yearbook. They also had these photgraphs rated on physical attractiveness. They contacted the same women for follow-up psychological assessments at age 52 ( and at other ages, data not shown here). Here are the correlations of these two predictors ( based on ratings of the yearbook photo) with several of their self-reported social and emotional outcomes at age 52: In College Photo ---------------------------- At Age 52 Physical Attractiveness Posivity of facialexpression Negative emotionality .04 -.27…
Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment. Excessive noise at night environment (Group 1) Quiet night environment (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58 Which of the following formulas would you use to calculate the test statistic? and calculate the test statistic to two decimal places (2dp). Test statistic =
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