Preventable chronic diseases are increasing rapidly in some regions, particularly diabetes. Shown below is a contingency table showing cross classification ofeducational attainment and diabetic state for a random sample of 1137 people in a region (HS is high school). At the 1% significance level, do the data providesufficient evidence to conclude that an association exists between educational level and diabetic state for the region?Less than HSHS gradSome college College gradTotalDiabetes23332634116No diabetes1422332424041021Total1652662684381137... EDThe test statistic is(Round to three decimal places as needed.) The critical value is.(Round to three decimal places as needed.)What is the conclusion of the independence test?O A. Reject Ho. The data provide sufficient evidence of an association.aryOB. Do not reject Ho. The data provide sufficient evidence of an association.asO C. Reject Ho. The data do not provide sufficient evidence of an association.O D. Do not reject Ho. The data do not provide sufficient evidence of an association.

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Answered: Preventable chronic diseases are…

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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Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: = 0 H1: ρ is: ≠ 0 Given all the information provided: Identify the correlation coefficient, r. r= _____ (round to three decimal places)
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Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05 Question: Determine the null and alternative hypotheses
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