Individuals with strong religious beliefs often turn to their faith to cope with stressful life events. Relying on God's love and caring is referred to aspositive religious coping.Andrea Phelps and her colleagues studied the relationship between positive religious coping and the type of care received by terminally ill cancerpatients. Most of the patients in the study were Christian. [Source: Phelps, A. et al., "Religious coping and use of intensive life-prolonging carenear death in patients with advanced cancer." Journal of the American Medical Association, 301 (2009): 1140-1147.]Suppose another researcher conducts a similar study but uses a sample of patients whose religious traditions are more varied than the patients inthe Phelps study. He samples 400 terminally ill patients to see whether their practicing a religion is related to how likely they are to seek intensivelife-prolonging care.The following table shows the results of the study.Observed FrequenciesSeeks Intensive Life-Prolonging CarePTTPractices a ReligionYes328YesNoNo176184Given these data, the most appropriate test to use to check whether there is a significant relationship between whether terminally ill patientspractice a religion and whether they seek intensive life-prolonging care is a(n)To do this test, which of the following assumptions and/or restrictions are required? Check all that apply.There must be homogeneity of variance.The observations must be independent.The variables must be independent of each other.The smallest expected frequency must be at least five. The researcher's null hypothesis is: "Among terminally ill patients, there is no relationship between whether they practice a religion and whetherthey seek intensive life-prolonging care." Fill in the following table of expected frequencies.Practices a ReligionYesNoExpected FrequenciesSeeks Intensive Life-Prolonging CareYesThe chi-square statistic isThe distribution of the chi-square statistic hasChi-Square DistributionDegrees of Freedom = 3Use the Distributions tool to answer the following questions.With a = 0.01, the critical value is01No.5000degree(s) of freedom.22.37.5000345-6EN78910111288%Because the chi-square statisticthe critical value, the researcherthe null hypothesis and concludesthat thereconvincing evidence of a significant relationship between whether terminally ill patients practice a religion and whether theyseek intensive life-prolonging care.

The data of 400 terminally ill cancer patients seeking life-prolonging care was given. We need to…

Answered: positive religious coping. Andrea…

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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In this same passage, is it explanatory variable or response variable?
A sports psychologist studied the effect of a motivational program on number of injuries in one year among players of three different sports (baseball, football, and basketball). Players were randomly assigned to one of two conditions: either participate in a motivational program or none (control). Data was collected on the number of injuries sustained by each athlete that season. Question: If p = .024 for the main effect of sports, what should the researcher conclude?
What is the distinguishing feature of a case-control study such as this? An epidemiologist performed a case-control study examining whether tobacco use was associated with oral cancer. The investigator recruited a random sample of 75 adults with oral cancer and 72 adults without oral cancer. Participants were interviewed and asked about their history of tobacco use. O Exposure status was assessed, and then the participants were followed up over time to see who developed the outcome. O The exposure and outcome were measured at the same time, so temporality cannot be established. O Participants were selected based on disease status, and then exposure status was assessed from the past. O The investigator randomized participants into exposure groups and then followed them to see who developed the outcome.
Vasectomies and Prostate Cancer. In the United States, approximately 450,000 vasectomies are performed each year. In this surgical procedure for contraception, the tube carrying sperm from the testicles is cut and tied. Several studies have been conducted to analyze the relationship between vasectomies and prostate cancer. The results of one such study by E. Giovannucci et al. appeared in the paper “A Retrospective Cohort Study of Vasectomy and Prostate Cancer in U.S. Men” (Journal of the American Medical Association, Vol. 269(7), pp. 878–882). Of 21,300 men who had not had a vasectomy, 69 were found to have prostate cancer; of 22,000 men who had had a vasectomy, 113 were found to have prostate cancer. a. At the 1% significance level, do the data provide sufficient evidence to conclude that men who have had a vasectomy are at greater risk of having prostate cancer? Consider men who had had a vasectomy Population 2. b. Is this study a designed experiment or an observational study?…
Can you please help me on 7 and 8?
We are interested in analysing the effect of the lockout laws introduced in some areas of the Sydney CBD and nearby surrounds on the number of alcohol-related violent incidents. Suppose we have two samples of data on the number of violent incidents in a number of local areas of the Sydney CBD and nearby surrounds. Pubs, hotels and clubs located in a subset of these areas became subject to the lockout laws when they were introduced in 2014. The first sample is from 2010 before the introduction of the lockout laws, and the second is from 2015 after the introduction of the law. The hypothesis we wish to test is that the introduction of the lockout laws reduces violent incidents in the areas in which the lockout laws were put in place. We use a difference-in-difference model on the pooled data from 2010 and 2015. We find the following results: viol_inc hat = 33.21 (5.29) + 12.43lockout (7.01) – 4.19Yr2015 (2.98) – 3.32 (lockout x Yr2015) (1.85) N = 181, R^2 = 0.128 Where: viol_incis the…
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
st is 22. Oishi and Shigehiro (2010) report that people who move from home to home frequently as children tend to have lower than average levels of well-being as adults. To further examine this relationship, a psychologist obtains a sample of n = 12 young adults who each experienced 5 or more different homes before they were 16 years old. These participants were given a standardized well-being questionnaire for which the general population has a
Results on seat belt usage from the 2003 Youth Risk Behavior Survey were published in a USA Snapshot on January 13, 2005. The following table outlines the results from the high school students who were surveyed in the state of Nebraska. They were asked whether or not they rarely or never wear seat belts when riding in someone else's car. Using ? = .05, does this sample present sufficient evidence to reject the hypothesis that gender is independent of seat belt usage? Female Male Rarely or never use seat belt 206 323 Uses seat belt 1220 1157 (a) Find the test statistic. (Give your answer correct to two decimal places.)(ii) Find the p-value. (Give your answer bounds exactly.) ______< p < ________
(3) The table contains hypothetical data from a study that a bank conducted on the credit card balances of male and female credit card holders (credit cards owned by both men and women were left out of the study). Male Female Mean $3,550 $2,670 Median $2,175 $2,500 Std Dev $1,240 $825 a. What conclusions can we come to by comparing the medians of the males and females? b. What conclusions can we come to by comparing the standard deviations of the males and females? c. Notice that the mean and median of the males are fairly far apart while the mean and median of the females are not. What does this tell us about the credit card balances of the males vs the credit card balances of the females?
5. Effect size for independent-measures t test - Cohen's d and r squared Tobacco companies have actively attempted to remake their public image by launching a youth smoking prevention advertisement campaign. Melanie Wakefield (a professor of applied psychology and researcher at the Center for Behavioral Research in Cancer in Victoria, Australia) and her colleagues conducted a study to assess the relation between exposure to tobacco companies' youth smoking prevention advertising and youth smoking-related beliefs, intentions, and behaviors. You use Professor Wakefield's research to design an experiment with two groups of middle school students from Morocco. You show the tobacco company's youth smoking prevention ads to one of the groups of students every day for a week at the beginning of their math class. After the week, you assess the groups on the degree to which the students approve/disapprove of adults smoking, using a 5-point Likert scale. You do not have a prediction about the…
2. [modified from page 76 #3] Coughlin et al. examined the breast and cervical screening practices of Hispanic and non-Hispanic women in counties that approximate the U.S. southern border region. The study used data from the Behavioral Risk Factor Surveillance System surveys of adults age 18 years or older conducted in 1999 and 2000. The table below reports the number of observations of Hispanic and non-Hispanic women who had received a mammogram in the past 2 years cross-classified with marital status. Marital Status Currently Married Divorced or Separated Widowed Never Married or Living As an Unmarried Couple Total Hispanic 319 130 88 41 578 Non-Hispanic 738 329 402 95 1564 Total 1057 459 490 136 2142 a) We select at random a subject who had a mammogram. What is the probability that she is widowed? b) We select at random a subject who had a mammogram and learn that she is Hispanic. With that information, what is the probability that she is married? e) Def two vents in this space that…

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