l Marketing i...022.docxhere to searchThe impact of mark... FDA The Impact of Direc...Problems:Consumer Behavior...hSocial Media is Cha... Direct-to-Consume...Page < 11. An investigator wanted to determine whether smoking was associated with lung cancer.The researchers located 200 people with lung cancer. A total of 200 people without lungcancer were selected at random and interviewed. Of those with lung cancer, 127reported history of smoking. A total of 165 controls reported never smoking. Constructthe appropriate 2x2 table and calculate the odds ratio and interpret the odds ratio. Whattype of study is this?> of 7 102. An investigator wanted to determine whether regularly eating vegetables was protectiveagainst obesity. The researchers located 250 people who were obese. A total of 250controls were selected at random and interviewed. Of the controls, 171 reported historyO ECWDownload42°FCons|TUT

Introduction: It is required to find the odds ratio and interpret it, and also to identify the type…

Answered: 1. An investigator wanted to determine…

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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According to the U. S. Bureau of Justice Statistics, in 2014 the incarceration rate in the nation's prisons was 904 per 100,000 male residents, 65 per 100,000 female residents, 2805 per 100,000 black residents, and 466 per 100,000 white residents (Source: www. bjs.gov.) (a) Find the odds ratio between whether incarcerated and (i) gender, (ii) race. Interpret. (b) According to the odds ratio, which has the stronger association with whether incarcerated, gender or race? Explain.
A standard deck of cards contains 52 cards, of which 4 are aces. You are offered the following wager: draw one card at random from the deck. You win $10 if the card drawn is an ace. Otherwise, you lose $1. If you make this wager very many times, what will be the mean outcome?
What percent of females thought that they were almost certain to be married in the next 10 years?
could you explain how to calculate the odds ratio?
A researcher is interested in whether job security and life satisfaction are related. What are the odds of high life satisfaction given job security given the following observed frequencies? Group of answer choices 1.55 1.17 2.4 0.61
Organ Donors USA Today provided information about a survey of 5100 adult Internet users. Of the respondents, 2346 said they are willing to donate organs after death. In this survey conducted for Donate Life America, 100 adults were surveyed in each state and the District of Columbia, and results were weighted to account for the different state population sizes. a. What percentage of respondents said that they are willing to donate organs after death? b. Based on the poll results, what is the probability of randomly selecting an adult who is willing to donate organs after death? c. What term is used to describe the sampling method of randomly selecting 100 adults from each state and the District of Columbia?
Which of the following is a form of systematic error? Chance. Type 2 error. Bias caused by the way people volunteer for a study. Type 1 error.
A researcher is interested in whether job security and life satisfaction are related. What are the odds of high life satisfaction given job security given the following observed frequencies? Group of answer choices a. 1.55 b. 1.17 c. 2.4 d. 0.61
You are conducting a case-control study to examine the association between retail work and housing insecurity. You enroll 250 cases and 250 controls. 121 people work in retail, including 71 cases. Calculate the odds ratio to examine the association between retail work and housing security. Round to the nearest 10th (one decimal point). Your Answer:
A random sample of 1756 Texas government employees were selected for a study on race. The table below shows the results of the survey. Observed Frequencies of Race from the Sample Outcome Observed Frequency White 720 Hispanic 755 Black 158 Other 123 The racial distribution for the state of Texas is shown in the second column below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Race Outcome Expected Percent Expected Frequency White 42 Hispanic 40 Black 10 Other 8
A social scientist gathers a carefully chosen group of 20 people whom she is selected to represent a broad cross section of the multiple of the population in New York City. She interviews them in depth for a study that she is doing regarding race relations in the city. Is there a probability sample? Explain your answer.
In an article that appears on a website,† Carlton Gunn, a public defender in Seattle, Washington, wrote about how he uses statistics in his work as an attorney. He states the following. I personally have used statistics in trying to challenge the reliability of drug testing results. Suppose the chance of a mistake in the taking and processing of a urine sample for a drug test is just 1 in 100. And your client has a "dirty" (i.e., positive) test result. Only a 1 in 100 chance that it could be wrong? Not necessarily. If the vast majority of all tests given—say 99 in 100—are truly clean, then you get one false dirty and one true dirty in every 100 tests, so that half of the dirty tests are false. Define the following events as given below. TD = event that the test result is dirty TC = event that the test result is clean D = event that the person tested is actually dirty C = event that the person tested is actually clean (a) Using the information in the quote, compute the following…

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