Use the following information to set up a 2 x 2 table and calculate appropriate measure of association. The following are the results from a population-based study to investigate whether high fat consumption is a risk factor for coronary heart disease (CHD): A total of 450 patients were selected from various hospitals and a to

Use the following information to set up a 2 x 2 table and calculate appropriate measure of association. The following are the results from a population-based study to investigate whether high fat consumption is a risk factor for coronary heart disease (CHD): A total of 450 patients were selected from various hospitals and a to

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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This question is from the below book, Chapter 15 (Comparing means of more than two groups) , AP 27 Book-Analysis of biological data 2nd Edition Michael C. Whitlock, Dolph Schluter Publisher: W. H. Freeman ISBN: 978193622148 Does adding math to a scientific paper make readers think that it has more value? Erikkson (2012) sent two abstracts of scientific papers to 200 people with postgraduate degrees. For each participant, one of the abstracts was randomly chosen and had a meaningless sentence inserted describing an unrelated. mathematics model, while the other had no mathematical addition. The sentence had no conceptual connection to the subject matter of the abstract; it was just meaningless mathematics in that context. Participants were asked to rate the quality of the research in each abstract on a scale from 1 to 100 and the differences between the scores of their two abstracts -score of the abstract with math minus score of abstract without math-were recorded. Participants were…
Whirling disease is a deadly disease that affects trout in Montana riversIn a follow-up to a 2006 study conducted by the Montana Department of FishWildlife and Parks (FWP)researchers sought to determine if the proportion of trout afflicted by whirling disease in the Gallatin river differs between rainbow trout and brown trout. To test this theory, researchers collected a representative sample of 527 rainbow trout and 459 brown trout. Of the 527 rainbow trout collected, 120 had developed whirling disease; of the 459 brown trout collected, 74 had developed whirling disease Calculate the relative risk of whirling disease for rainbow trout compared to brown trout in this sample.
In a study conducted by the Department of Environmental Sciences at Virginia Tech, the steel rods supplied by two different companies were compared. Ten sample springs were made out of the steel rods supplied by each company and a measure of flexibility was recorded for each. The data are as follows: Company-A: 6.1 8.2 7.1 7.5 8.1 6.0 8.0 6.5 7.2 7.0 Company-B: 12 9.5 9.9 10.2 10.2 9.7 11.0 11.1 10.2 9.6 a. Calculate the standard deviation for the data of the two companies. b. Which company is better?
An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered: Shoe size > 9 Pair Case Control 1 Yes No 2 No No 3 No Yes 4 Yes Yes 5 No Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1
Five samples of a ferrous-type substance were used to determine if there is a difference between a laboratory chemical analysis and an X-ray fluorescence analysis of the iron content. Each sample was split into two subsamples and the two types of analysis were applied, with the accompanying results. Assuming that the populations are normal, test at the 0.02 level of significance whether the two methods of analysis give, on the average, the same result. Click here to view the sample analyses. Click here to view page 1 of the table of critical values of the t-distribution. Click here to view page 2 of the table of critical values of the t-distribution. Let sample 1 be the X-ray fluorescence results and let sample 2 be the laboratory chemical results. State the null and alternative hypotheses. Ho: HD H1: HD + Identify the critical region. Select the correct choice below and fill in the answer box(es) to complete your choice. (Round to three decimal places as needed.) O A. t> В. t O C. t<
1) Soda consumption is very common in the U.S. For the purposes of this question, assume that 30% of the population consumes the equivalent of 3 or more 12 oz. sodas per week (this is the prevalence of the exposure). A large multi-center cohort study was conducted to evaluate the association between soda consumption and risk of diabetes. At baseline, participants were asked about their typical soda consumption, and individuals who reported consuming 3 or more sodas per week were considered exposed. Participants were followed for 10 years, and the following results were obtained: Incident Cases of Diabetes 356 236 Person-Years Contributed 3+ sodas a week 375234 <3 sodas a week 399763 a) Name the appropriate measure of association corresponding to the excess rate of diabetes attributable to soda consumption among subjects who consume 3+ sodas per week. Calculate this measure (shown as a rate, using the correct units), and provide a brief interpretation of your answer b) Calculate the…
Attractiveness of body types has been a large discussion relating to effects on youth and culture. Unhealthy levels of BMI are often associated with beauty. A researcher decided to study how young heterosexual adults body type preferences related to BMI. Participants were asked to use a computer program to design their desired partner. The program then calculated the BMI of the designed partners. The table summarizes the results based on a SRS of 35 men and 48 women. BMI designed by men n=35 x-bar=18.850 stdev=1.750 SE Mean 0.277 BMI designed by women n=48 x-bar=25.860 stdev=4.215 SE Mean 0.625 Use this information to conduct a test to decide if male and/or female body type preferences are associated with healthy BMI measurements. You should have two complete tests here. You may assume the populations are normally distributed.
In each of the following settings, decide whether the samples are independent or dependent. Explain your choice.a. To test the wear characteristics of two tire brands, A and B, each brand of tire is randomly assigned to 50 cars of the same make and model.independentb. To test the effect of background music on productivity, factory workers are observed. For one month, each subject works without music. For another month, the subject works while listening to music on an MP3 player. The month in which each subject listens to music is determined by a coin toss.dependentc. A study was designed to compare the effectiveness of two weight-reducing diets. Fifty obese women who volunteered to participate were randomly assigned into two equal-sized groups. One group used Diet A and the other used Diet B. The weight of each woman was measured before the diet was assigned and again after 10 weeks on the diet.dependent
Identify whether the studies described here are based on (1) single samples, (2) paired samples, or (3) independent samples. Cardiovascular disease risk factors are compared in husbands and wives. A nutritional exam is applied to a random sample of individuals. Results are compared to the results of the whole nation. An investigator compares vaccination histories in 30 autistic schoolchildren to a simple random sample of non-autistic children from the same school district.
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…
2) Consider the following data from a hypothetical case control study examining the relationship between tanning bed use in young adulthood and risk of melanoma Cases 688 196 History of Tanning Bed Use Yes No Controls 288 864 a) Name the appropriate measure of association for estimating the relative risk of melanoma, comparing tanning bed users (exposed) to nonusers (reference category). Calculate this measure and provide a brief interpretation of your answer b) Assume that this relationship is causal. Among young people who use tanning beds, what proportion of melanoma risk could be eliminated by banning tanning bed use in young adults? c) If 4% of all young adults use tanning beds, what proportion of melanoma risk could be eliminated from the overall general population by banning the use of tanning beds in young adults?
Acne is a common skin disease that affects most adolescents and can continue into adulthood. A study compared the effectiveness of three acne treatments and a placebo, all in gel form, applied twice daily for 12 weeks. The study's 517 teenage volunteers were randomly assigned to one of the four treatments. Success was assessed as clear or almost clear skin at the end of the 12 week period. The results of the study can be seen in the table below. Using the appropriate statistical test, determine if there is significant evidence that the four treatments perform differently. If so, how do they compare.