Please make sure with Ho that you set it equal to something, not anything else. 5. Downs and Abwender (2002) evaluated soccer players and swimmers to determine whether routineblows to the head experienced by soccer players produced long term neurological deficits. In the study,neurological tests were administered to mature soccer players and swimmers. In a similar study, aresearcher obtained the following data:Soccer playersN2 = 5X2 = 6SS2 = 24SwimmersN1 = 8X1 = 9SS1%3D44%3D(a) Compute a 95% confidence interval for u1 - µ2, the population mean difference in neurologicalscores between the two groups.(b) Compute an appropriate effect size (e.g., Cohen's d) to describe the mean difference in neurologicalscores between the two groups.(c) Perform a hypothesis test to decide whether the population mean neurological score for swimmersis significantly different from that of soccer players.

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Answered: 5. Downs and Abwender (2002) evaluated…

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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Consider a cohort study to compare the mortality rate of myocardial infarction (MI) in men with sedentary work (exposed group) to men with physically active work (unexposed). If in the exposed, there were 36,000 person (man) years of observation and 126 deaths whereas the unexposed had 24,000 man-years of observation and 44 deaths. Compute the following a) Mortality rate in each cohort? b) What is the relative risk of dying, comparing these 2 groups? c) What is the attributable risk of sedentary work? d) What is the attributable benefit of physical activity? e) If we assume that MI is associated with the mortality in this cohort (causality), what proportion of the disease in the higher group is potentially preventable?
The researchers reported:" A 2x2 ANOVA revealed, first of all, a main effect for depletion, indicating that depleted individuals generated less ideas (M = 9.40, SD = 5.64) than non-depleted individuals (M = 12.44, SD = 7.34), F (1, 108) = 6.03, p = .016, n2 = .05. This effect was qualified by the expected interaction with [perseverance], F (1,108) = 4.52, p = .036, n2 = .05". What size are the effects for the main effect of depletion and for the interaction between depletion and perseverance, according to Cohen's conventions? a. These are small- to -medium effects b. These are non existent effects c. These are large effects d. We are unable to tell from from the n2 / r2 statistics
Suppose a researcher is interested inthe effectiveness in a new childhood exercise program implemented in a SRS of schools across a particular county. In order to test the hypothesis that the new program decreases BMI (Kg/m2), the researcher takes a SRS of children from schools where the program is employed and a SRS from schools that do not employ the program and compares the results. Assume the following table represents the SRSs of students and their BMIs. Student intervention group BMI (kg/m2) Student control group BMI (kg/m2) A 18.6 A 21.6 B 18.2 B 18.9 C 19.5 C 19.4 D 18.9 D 22.6 E 24.1 F 23.6 A) Assuming that all the necessary conditions are met (normality, independence, etc.) carry out the appropriate statistical test to determine if the new exercise program is effective. Use an alpha level of 0.05. Do not assume equal variances.B) Construct a 95% confidence interval about your estimate for the average difference in BMI between the groups.
An experiment to determine if a migraine medication decreases a person's average number of monthly migraines is performed on 400 people who report they have several migraines a month. Researchers randomly assigned 200 people to the treatment group and 200 people to the control group. After the study, the researchers determined that 48 of the subjects in the treatment group and 28 of the subjects in the control group average fewer migraines per month. The data from the two groups are resampled 150 times, and the table shows the distribution of the differences of the proportions for the reconfigured treatment and control groups.
Compare the two separate scatterplots. In particular, how do the associtation compare between women with pets vs. women without pets? Does one group have more variation in systolic blood pressure than the other? If so, for which group? Does systolic blood pressure seem higher for common ages between the two groups? If so, for which group?
A suburban hotel derives its revenue from its hotel and restaurant operations. Theowners are interested in the relationship between the number of rooms occupied on anightly basis and the revenue per day in the restaurant. Below is a sample of 25 days(Monday through Thursday) from last year showing the restaurant income and numberof rooms occupied.
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded MaleDriver FemaleDriver 1.3 -0.1 1.3 0.4 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use μmales − μfemales.Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to…
A company has two chemist, Mr. Morris and Mr. Logan to produce their drinks. Mr. John, their boss, is not pleased with Mr. Logan’s attitude to work, so he is contemplating firing Mr. Logan andkeeping Mr. Morris only to perform this job. The problem, however, is that Mr. Logan seems to produce a higher quality drink whenever he oversees production when compared to Mr. Morris. Before making a final decision, Mr. John decided to collect data measuring the quality of different batches ofdrinks produced by Mr. Morris and Mr. Logan to make a better-informeddecision. The results, measured on a quality scale, are listed below: Name Average Standard Deviation Sample Size Mr. Logan 98 1 8 Mr. Morris 94 4 10 a) Based on this data above, advise Mr. John whether Mr. Logan isbetter at making the signature sauce than Mr. Morris by usinghypothesis testing – use the critical value approach with a level ofsignificance at 5%.
A recent study examined the effects of carbon monoxide exposure on a group of construction workers. The following table presents the numbers of workers who reported various symptoms, along with the shift (morning, evening, or night) that they worked. Morning Shift Evening Shift Night Shift Influenza 19 12 17 Headache 15 33 6 Weakness 12 14 7 Shortness of Breath 6 10 7 Send data to Excel Test the hypothesis of independence. Use the =α0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? H0: The shift and reported symptoms are/are not independent. H1: The shift and reported symptoms are/are not independent. This hypothesis test is a left tailed/right tailed/two tailed test.
A paper investigated the driving behavior of teenagers by observing their vehicles as they left a high school parking lot and then again at a site approximately 1 2 mile from the school. Assume that it is reasonable to regard the teen drivers in this study as representative of the population of teen drivers. Amount by Which Speed Limit Was Exceeded MaleDriver FemaleDriver 1.2 -0.1 1.4 0.4 0.9 1.1 2.1 0.7 0.7 1.1 1.3 1.2 3 0.1 1.3 0.9 0.6 0.5 2.1 0.5 (a) Use a .01 level of significance for any hypothesis tests. Data consistent with summary quantities appearing in the paper are given in the table. The measurements represent the difference between the observed vehicle speed and the posted speed limit (in miles per hour) for a sample of male teenage drivers and a sample of female teenage drivers. (Use μmales − μfemales.Round your test statistic to two decimal places. Round your degrees of freedom down to the nearest whole number. Round your p-value to…
In a classic study, Shrauger (1972) examined the effect of an audience on performance for two groups of participants: high self-esteem and low self-esteem individuals. The participants in the study were given a problem-solving task with half of the individuals in each group working alone and a half working with an audience. Performance on the problem-solving task was measured for each individual. The results showed that the presence of an audience had little effect on high self-esteem participants but significantly lowered the performance for the low self-esteem participants. a. How many factors does this study have? What are they? b. Describe this study using the notation system that indicates factors and numbers of levels of each factor.
The data for lab 1-2 was created based upon the paper by the STARSproject and modified by Dr. Hole. Fast food meals are typically high incalories, fat, sodium and cholesterol, which are known to increase the riskof obesity and diabetes. Researchers found that unhealthy ingredients,large portion size, low cost, and convenience make fast food cause obesity.The dataset provided by Dr. Hole is derived from a very large consumersurvey conducted by market researchers at Milward Brown. The survey wascarried out using a CATI (computer Aided Telephone Interviewing)methodology. Random digit telephone numbers were dialed and theperson answering was asked “Do you buy fast food nowadays?” Only thoseresponding “Yes” were then surveyed. In class, we already examined thedatasets, found results, and drew tables to answer several questions.Dataset: Lab 1-2.savRequirements: For your 1-2 assignment, please provide scholarly tables and your findings/thoughts with reasonable justification for the following…

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