Researchers are interested to determine if there is a relationship between death anxiety and religiosity. 12 people completed death anxiety scale (high score = high anxiety) and completed a checklist designed to measure an individual's degree of religiosity (belief in particular religion, regular attendance at religious service, number of times per week they regularly pray etc.) (High score = greater religiosity) The responses gathered are as follows: Person Death Religiosity a. Show the scatter graph Anxiety 10 11 12 42 29 31 28 15 17 19 11 8 3 14 19 3 11 5 9 6 9 10 15 19 10 14 17 b. Use Correlation Analysis c. Determine the best line fit d. If a person has a death anxiety score of 20, what would be his predicted religiosity? And if the death score is 30?
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- A data set from a study that examined the effect of a specific diet on blood pressure is provided . Participants (n = 72) were randomly assigned either to a group that was put on the diet (Diet = Present) or to a group that was not put on the diet (Diet = Absent), and researchers wanted to know whether the diet had a significant impact on blood pressure. Fully interpret the results in the context of this study (i.e., report the conclusions as related to the research question).A researcher is interested in the relationship between total student debt after graduating college and depression. In order to test the hypothesis that students with more debt are more depressed, the researcher conducts a cross-sectional study that inquires about indebtedness after graduation and asks participants to complete the geriatric depression scale (GDS) test to quantify their depression on a scale of 1-15, 15 being the most depressed. The following table should be considered a SRS of participants’ responses relative to the variables of interest. Indebtedness at Graduation ($) Performance on GDS (1-15) 75,438 8 89,653 9 112,653 11 109,563 10 56,863 6 A) Calculate basic descriptive statistics for your predictor and outcome variables. B) Perform a formal test addressing the correlation between your predictor and outcome variables. (Use alpha = 0.05). C) Interpret your results.People often wait till middle age to worry about having a healthy heart. However, recent studies have shown that earlier monitoring of risk factors such as blood pressure can be very beneficial (The Wall Street Journal, January 10, 2012). Having higher than normal blood pressure, a condition known as hypertension, is a major risk factor for heart disease. Suppose a large sample of individuals of various ages and gender was selected and that each individual’s blood pressure was measured to determine if they have hypertension. For the sample data, the following table shows the percentage of individuals with hypertension. Develop a side-by-side bar chart with age on the horizontal axis, the percentage of individuals with hypertension on the vertical axis, and side-by-side bars based on gender. What does the display you developed in part (a), indicate about hypertension and age? Comment on differences in gender. Age Male Female 20 - 34 11.0% 9.0% 35 – 44…
- The 5-year incidence of cardiovascular disease (CVD) in relation to smoking status was determined in a population sample of 1000 men, 18 years and older. At baseline, 30% of the men were classified as being current smokers and 70% as being non-smokers. At the end of the follow-up, 60 CVD events had occurred among the smokers and 70 events among the non-smokers. Construct a 2 x 2 table based on the data providedA social psychologist wants to know if people judge a person's attractiveness differently if they appear rich or poor. Two pictures were taken with the same model, one in expensive clothes standing next to a new sports car, and the other in old clothes standing next to an old hatchback car. In an online survey, participants were randomly divided so that they saw one of the two pictures and were asked to rate the model's attractiveness on a scale of 1 to 10. Which statistical test would be best to determine if there is a significant difference between groups? one-sample t-test dependent samples t-test independent samples t-test ANOVAThe 5-year incidence of cardiovascular disease (CVD) in relation to smoking status was determined in a population sample of 1000 men, 18 years and older. At baseline, 30% of the men were classified as being current smokers and 70% as being non-smokers. At the end of the follow-up, 60 CVD events had occurred among the smokers and 70 events among the non-smokers. What is the relative risk for CVD for smokers compared non-smokers? Please interpret the result.
- A data set from a study that examined the effect of a specific diet on blood pressure is below. Participants (n = 72) were randomly assigned either to a group that was put on the diet (Diet = Present) or to a group that was not put on the diet (Diet = Absent), and researchers wanted to know whether the diet had a significant impact on blood pressure. Before conducting the test, evaluate the normality assumption for the test and report the results (i.e., is the assumption reasonable for this analysis/data set?). Biofeedback Drug Diet BldPres Present X Absent 170 Present X Absent 175 Present X Absent 165 Present X Absent 180 Present X Absent 160 Present X Absent 158 Present X Present 161 Present X Present 173 Present X Present 157 Present X Present 152 Present X Present 181 Present X Present 190 Present Y Absent 186 Present Y Absent 194 Present Y Absent 201 Present Y Absent 215 Present Y Absent 219 Present Y Absent 209 Present Y Present 164…A study is designed to test whether there is a difference in mean daily calcium intake in adults with normal bone density, adults with osteopenia (a low bone density which may lead to osteoporosis) and adults with osteoporosis. Adults 60 years of age with normal bone density, osteopenia and osteoporosis are selected at random from hospital records and invited to participate in the study. Each participant's daily calcium intake is measured based on reported food intake and supplements. The data are shown below. Is there a statistically significant difference in mean calcium intake in patients with normal bone density as compared to patients with osteopenia and osteoporosis?A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64} Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057 Is there a significant difference between to the two sites? (alpha=0.05) Group of answer choices Yes (Reject the null hypothesis) Yes (Accept the null hypothesis) No (Reject the null hypothesis) No (Accept the null hypothesis)
- A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64} Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057 What is the test statistics (tstat)? (alpha=0.05) Group of answer choices 4.127 2.791 1.674 4.594Studies have suggested that alcohol abuse and disorders are found to be more prevalent during early adulthood than in any other age group, with about 9% of young adults (age 18 to 29 years) meeting the criteria to be labeled as alcoholic. In addition, surveys have shown that college students tend to drink more than their peers who do not attend college. You want to test to see if there are differences in excessive alcohol use in young adults that attend college versus those who do not, so you surveyed 405 young adults, age 19 to 22, about their alcohol use by asking the question, "Have you consumed alcohol to the point of intoxication at least once within the past month?" with the following results. Young Adults Attending College Young Adults Not Attending College n1 = 255 n2 = 150 y1 = 96 said "yes" y2 = 44 said "yes" p̂1 = 96 255 p̂2 = 44 150 (a) Calculate the test statistic. (Round your answer to two decimal places.) (b) If H0:…A researcher is interested in whether a difference can occur between scores on one of the Maryland Addiction Questionnaire (MAQ) subtest, namely the Motivation for Continued Treatment (MOT) among inmates incarcerated for operating a vehicle Under the Influence(OUI). One group of subjects was assigned to a treatment facility for dealing with drug abuse issues, and the other group of 20 subjects continued in the main jail with no treatment being provided. The scores follow: Treatment group 47, 50, 41, 52, 48, 46, 50, 44, 60, 48, 46, 47, 41, 39, 58, 45, 62, 50, 39, 47 Non treated group 41, 45, 40, 40, 33, 41, 42, 43, 37, 33, 53, 40, 38, 43, 55, 31, 37, 53, 38, 40 Test the research hypothesis that there will be a difference between the two sets of scores (find the t score) Calculate a confidence interval at the .95 level for establishing the true population difference between the groups [find the CI(confidence interval)] Indicate the type of research and, if appropriate, the…