**Study Overview:**This case-control study examines the association between high blood pressure (hypertension) and the risk of stroke in adult males.**Data Table:**| Status | Cases of Stroke | Controls ||-----------------------|----------------|---------|| High Blood Pressure | 300 | 200 || Normal Blood Pressure | 100 | 200 |**Research Question:**9. What is the main measure of interest in this study?**Options:**- A. Relative Risk.- B. Odds Ratio.- C. Difference in the frequency of high blood pressure for the cases versus the controls.- D. Difference in the incidence of stroke for those with and without high blood pressure.

Introduction: The results of a case control study is given, with the aim of examining the…

Answered: Questions 9-11: Results of a case…

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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1) A series of experiments were conducted to determine the effect of air voids on percentage retained strength of asphalt. For purposes of the experiment, air voids are controlled at three levels; low (1-3%), medium (4-6%), and high (7-9%). The data are shown in Table 1. Do the different levels of air voids significantly affect mean retained strength? Use a = 0.05. Table 1: Results of the air voids effect on percentage retained strength of asphalt Air Voids Low Medium High 106 80 78 90 69 80 Retained Strength (%) 103 94 62 90 91 69 79 70 76 88 83 85 92 87 69 95 83 85
What test do I need to run?
You may need to use the appropriate appendix table or technology to answer this question. The increasing annual cost (including tuition, room, board, books, and fees) to attend college has been widely discussed (Time.com). The following random samples show the annual cost of attending private and public colleges. Data are in thousands of dollars. Private Colleges Public Colleges 52.8 44.2 45.0 33.3 44.0 20.3 22.0 28.2 15.6 24.1 28.5 31.6 44.8 36.8 50.5 43.0 22.8 25.8 18.5 25.6 14.4 21.8 (a) Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for private colleges. (Round the standard deviation to two decimal places.) sample mean $ 42.6 v thousand sample standard deviation $ 6.85 v thousand Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for public colleges. (Round the standard deviation to two decimal places.) v thousand v thousand sample mean $ 22.3 sample standard deviation $ 4.53 (b) What…
You may need to use the appropriate appendix table or technology to answer this question. The increasing annual cost (including tuition, room, board, books, and fees) to attend college has been widely discussed (Time.com). The following random samples show the annual cost of attending private and public colleges. Data are in thousands of dollars. Private Colleges Public Colleges 52.8 43.2 46.0 32.3 44.0 20.3 22.0 28.2 15.6 24.1 28.5 31.6 44.8 36.8 51.5 42.0 22.8 25.8 18.5 25.6 14.4 21.8 (a) Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for private colleges. (Round the standard deviation to two decimal places.) sample mean | thousand sample standard deviation thousand Compute the sample mean (in thousand dollars) and sample standard deviation (in thousand dollars) for public colleges. (Round the standard deviation to two decimal places.) | thousand | thousand sample mean $4 sample standard deviation $ (b) What is the point estimate (in…
. Do patients with gastrointestinal issues experience more psychological distress than the general population? The DASS-21 questionnaire is a validated measure of depression, anxiety, and stress. For the general population, the mean for anxiety is µ = 4.2. Anxiety levels are calculated based on self-reported answers to questions on a scale from 0 through 42, with lower scores indicating lower anxiety. Participants with gastrointestinal issues (specifically inflammatory bowel disease, IBD) completed the DASS-21. Use the data presented below to determine whether having gastrointestinal issues like IBD significantly increases risk for anxiety. Test whether or not the performance of this sample is significantly higher than the normal population using the proper t-test. Here are the data: Anxiety scores: 12, 15, 10, 8, 10, 5, 10, 13, 4, 6 ANALYSES AND UNGRADED OPTIONAL GUIDING QUESTIONS: 1a. Identify the Indep.Variable:__ Dep.Variable:__ Is it the Hypothesis…
Identify the sources of data for the following cases by writing a tick (V) inside the table ( Name Experiment Case Studies Annual Report Internet Questionnaire Primary Source Secondary Source
A matched-pair case-control study was conducted in order to assess if there is a relationship between serum Vitamin D levels and migraine headaches. The results are shown below: Control Control With migraine No Migraine 22 49 (Case) High Vitamin D (Case) Low Vitamin D 36 18 What would be the result of the unmatched odds ratio? Answer should be in numerical form. Avoid extra spaces before and after your answers. Answer should be in two decimal places.
Suppose an investigator has studied the possible association between the use of a weight-loss drug and a rare central nervous system (CNS) disorder. He samples from a group of volunteers with and without the disorder, and records whether they have used the weight-loss drug. The data are summarized in the attached table: What is the estimated the odds ratio for the presence of a CNS disorder, comparing people who have used the weight-loss drug to those who have not? What test would you use to evaluate the null hypothesis of no association between weight-loss drug use and presence of a CNS disorder?
what is the total degrees of freedom for this data?
(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?
I suffered to find the answer but it’s wrong. Can anyone help me please?
One of the great difficulties a small restaurant manager faces is to pleaseevery customer who differs widely in age. On a randomly selected evening, this restaurant served 12 customers whose ages reported below: 87 58 54 61 3 35 31 28 3 16 68 36 a) What are the mean, median, and mode of the data? b) What measure of central tendency would you use here? Why? c) Find the ve-number summary of the data. ??

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