Q4: Three studies reported data on the association of obesity and breast cancer.Breast cancerNoStudy123ObesityYesNoYesNoYesNoYes2017128116Combine the three studies and find the common odds ratio.607049573642

before combining them using the meta-analysis method to determine the average odds ratio across the…

Answered: Q4: Three studies reported data on the…

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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The city council is considering a law that would ban smoking in all public facilities. A sample has been selected from the community and tested for support of the ordinance. Is there a statistically significant relationship between age and support for the anti-smoking law? Use the five step model as a guide and write a sentence or two interpreting your results. Age Less than 40 More than 40 Support: For 145 78 223 Against 103 169 272 248 247 495
Lynn University wants to examine whether students display better academic performance in class versus online. They have collected GPAs of two different samples of students, a sample from classes that take place in-person and a sample from classes that take place online. The data set is below. They predict that in-class students perform better than online students. GPA's In Class GPA Online GPA 4.0 4.0 3.5 2.2 3.7 3.3 3.5 3.7 2.0 2.5 3.2 3.8 3.3 3.8 What type of t-test should we use for this research question? Group of answer choices a) One sample b) Independent samples c) Paired Samples
Julius has conducted a very small study of the amount of sleep his dorm mates get each night. He believes that those who are on one of the school’s sports teams will get more sleep (measured in hours per night) than those who are not. Julius surveyed 12 people. Of these, 6 played on a sports team and 6 did not. The descriptive statistics from his survey are given below. PLAYS SPORTS (Sample 1) DOES NOT PLAY SPORTS (Sample 2) 8 6 9 6 8 5 7 7 8 7 7 6 What is the critical value for this test? what is the t-obtain value for this t-test? Based on your t-obtained value, what should you conclude about the null hypothesis for this test?
A study is conducted to estimate the association between exposure to lead paint in childhood and attention-deficit hyperactivity disorder (ADHD). Data on n = 400 children are collected, and data on exposure and ADHD diagnosis are shown in Table 9–26. Estimate the crude or unadjusted relative risk. Estimate the crude or unadjusted odds ratio.
In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments? a. 5 b. 2 c. 4 d. 8
Consider a study to determine the association between alcohol consumption and esophageal cancer. Data on alcohol consumption was dichotomized at 80 g/day. The data are summarized in the 2x2 table below: Alcohol grams/day >= 80 <80 Esophageal cancer Yes 96 104 No 109 666 Select the appropriate odds ratio and interpretation. People who consume 80 or more grams of alcohol per day have 5.64 times the odds of esophageal cancer than those who consume less than 80 grams of alcohol per day. People who consume less than 80 grams of alcohol per day have 5.64 times the odds of esophageal cancer than those who consume 80 grams or more of alcohol per day. People who consume less than 80 grams of alcohol per day have 5.64 more odds of esophageal cancer than those who consume 80 grams or more of alcohol per day. People who consume 80 or more grams of alcohol per day have 5.64 times the risk of esophageal cancer than those who consume less than 80 grams of alcohol per day.
A store owner wants to know if he sells more sandals or sunglasses during the summer. He records the number of sales for both products for the entire month of June. What is the data-gathering technique used? A experiment randomized survey observational study D voluntary survey C
How do the average weekly incomes of electricians and carpenters compare? A random sample of 17 regions in the United States gave the following information about average weekly income (in dollars). (Reference: U.S. Department of Labor, Bureau of Labor Statistics.) Region 1 2 3 4 5 6 7 8 9 Electricians 464 715 597 464 736 694 744 571 806 Carpenters 542 813 513 476 688 503 789 653 474 Region 10 11 12 13 14 15 16 17 Electricians 592 594 702 579 868 598 597 654 Carpenters 489 647 676 384 817 605 556 505 Does this information indicate a difference (either way) in the average weekly incomes of electricians compared to those of carpenters? Use a 5% level of significance. (a) What is the level of significance? (b) Compute the sample test statistic. (c) Find the P-value of the sample test statistic.
Even if a treatment has an effect, it is still possible to obtain a sample mean after the treatment that is very similar to the original population mean. Which outcome is likely if this happens? Group of answer choices reject H0 and make a Type I error correctly reject H0 fail to reject H0 and make a Type II error correctly fail to reject H0
(OPHTHALMOLOGY) The following data are from a study on Botox injections. Patients received a high-dose injection in one eye (experimental treatment = treatment E) and a low-dose injection in the other eye (control treatment = treatment C). Patients were asked to rate the level of pain in each eye on a 1–10 scale, with higher scores indicating more pain. The assignment of treatments to eyes was randomized. The subjects came back over several visits. Data from the last visit are given in the following table: 1. Which of the following is the correct test to conduct given the situation above? 2. The hypotheses are: 3. What is the level of significance? 4. What is the computed test statistic? Hint: Use (mean of "Pain in E eye") minus (mean of "Pain in C eye") 5. What is the correct decision based on the p-value or critical value method?
An analysis of variance produces SSbetween = 75 and MSbetween = 15. In this analysis, how many treatment conditions are being compared? Select one: a. 3 b. 4 c. 5 d. 6
Which of the following is a component of a 2 x 3 Factorial ANOVA? Factor A main effect Factor B main effect Interaction effect All of the above

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Q4: Three studies reported data on the association of obesity and breast cancer. Breast cancer No Study 1 2 3 Obesity Yes No Yes No Yes No Yes 20 17 12 8 11 6 Combine the three studies and find the common odds ratio. 60 70 49 57 36 42