A cross-sectional study is conducted to investigate cardiovascular disease (CVD) risk factors among a sample of patients seeking medical care at one ofthree local hospitals. A total of 800 patients are enrolled. Based on the following data, we would like to determine if there is a significant associationbetween the family history of CVD and the enrollment site.Enrollment SiteFamily History of CVDHospital 1Hospital 2Hospital 3TotalYes342838100No182126392700Total216154430800• Given:The value of the test statistic is x? = 11.894.Use a = 0.1 as the level of significance. c)A necessary condition to perform the hypothesis test is:O The observed frequencies must be at least 5.O The expected frequencies must be at least 30.O The expected frequencies must be at least 5.O The cell x2-values must be at least z0.975 = 1.96.O The cell x²-values must be at least z0,951.645.O The row and column totals must be at least 30.O The sample size must be at least 30.O The observed frequencies must be at least 30.Submit partd)Since the critical value iswe have sufficient evidencethe null hypothesis at a = 0.1 level of significance and concludethat therea significant association between family history of CVD and enrollment site.Round your numerical answer to 2 decimal places.

Answered: Image /qna-images/answer/82b86bc9-0611-45f2-84bd-fd6ec1b8aff7.jpg

Answered: A necessary condition to perform 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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36 Assume that a sample is used to estimate a population proportion p. Find the 98% confidence interval for a sample of size 353 with 34% successes. (Show all work)
A manufacturer of capacitors claims the breakdown voltage has a mean value of at least 1 00 V. A test of nine capacitors yielded breakdown voltages of 97, 104, 95, 98, 106, 92, 110, 103, and 93 V.a) Find the sample mean.b) Find the sample variance using an unbiased estimate.c) Is the manufacturer's claim valid if a confidence level of 95% is employed?
What are the requirements to perform a one-way ANOVA? Is the test robust? What are the requirements to perform a one-way ANOVA? Select all that apply. A. There must be k simple random samples, one from each of k populations or a randomized experiment with k treatments. B. The sample size for each of the k samples must be equal. C. The k samples must be independent of each other; that is, the subjects in one group cannot be related in any way to subjects in a second group. D. The populations must have the same variance; that is, each treatment group has population variance sigmaσ2. E. The sample means must all be equal. F. The populations must be normally distributed. G. The within-sample variability must be less than the combined variances of each group. Is the one-way ANOVA test robust? A. Yes, small departures from the normality requirement do not significantly affect the results. B. No, small…
A population, in which N = 5, is given below. Mention all the possible random samples of size n= 3 by both the methods. Y = 1, 3, 6, 8, 9
Suppose that in a random selection of 100100 colored candies, 2323% of them are blue. The candy company claims that the percentage of blue candies is equal to 2525%. Use a 0.100.10 significance level to test that claim.
Assume that a simple random sample has been selected from a normally distributed population. Identify the null hypothesis, alternative hypothesis, test statistic, P-value (or range of p-values), conclusion about the null hypothesis, and final conclusion that addresses the original claim. 1) Test the claim that the mean age of the graduate school population in one city is less than 33 years. Sample data are summarized as n 67, x = 42.4 years, and s = 31.5 years. Use a significance level of a = 0.10.
A sample sequence of 42 products is selected (in order) from an assembly line. Each product is examined and judged to be either acceptable or defective. A total of 35 of these products were found to be acceptable, and the other 7 were found to be defective. The number of runs was 5. The runs test is to be used at the 0.05 significance level to test for randomness. Find the value of the test statistic used in this test, and round it to 3 places after the decimal point (if necessary) Test statistic: Submit Question DII F3 4 R F4 % 5 T G A F5 A 6 Y H F6 & 7 U F7 PrtScn 8 F8 K Home 9 F9 O End F10 P
Estimate the minimum sample size needed to achieve the margin of error E = 0.029 for a 95% confidence interval. The minimum sample size is an example (Round up to the nearest integer.)
3,500 randomly chosen voters are asked in a national poll if they approve of the job the president is doing. Which best describes a sampling distribution of the sample proportion in this situation? O A confidence interval containing the true proportion of voters who approve of the president. O The proportion of all voters who approve the president. O The proportion of these 3,500 voters who approve the president. O The proportions who approve the president within all possible samples of this size.
Estimate the minimum sample size needed to achieve the margin of error E = 0.026 for a 95% confidence interval. The minimum sample size is (Round up to the nearest integer.)
K Two different simple random samples are drawn from two different populations. The first sample consists of 20 people with 11 having a common attribute. The second sample consists of 1900 people with 1353 of them having the same common attribute. Compare the results from a hypothesis test of p₁ = P₂ (with a 0.01 significance level) and a 99% confidence interval estimate of P₁-P₂- What is the conclusion based on the hypothesis test? The test statistic is the critical region, so The 99% confidence interval is < (P₁-P₂) < (Round to three decimal places as needed.) What is the conclusion based on the confidence interval? Since 0 is the null hypothesis. How do the results from the hypothesis test and the confidence interval compare? The results are since the hypothesis test suggests that p₁ the null hypothesis. There is in the interval, it indicates to evidence to conclude that p₁ # P₂. P₂, and the confidence interval suggests that p₁ VP2- D

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