100 smokers and 100 non-smokers were followed to see if they developed lung cancer over time. The results are in the table below.The odds of lung cancer for smokers 4.33 compared to non-smokers.Calculate the Chi-Square statistic and draw a conclusion as to whether the Odds Ratio is significantly different from 1.Note: Round your answers to two decimals.Characteristic Lung Cancer No-Lung CancerSmoker7030100Non-Smoker356510010595200None of these choices are correct.Chi-Square Test Statistic = 4.33. Chi-Square Critical Value - 3.84. Reject HO since 4.333.84Chi-Square Test Statistic - 24.56, Chi-Square Critical Value - 3.84. Reject HO since 24,561 3.84O Chi-Square Test Statistic - 4.33. Chi-Square Critical Value - 5.99. Do Not Reject HO since 4.33 5.99

Given data: Characteristic Lung cancer Non-lung cancer Total Smoker 70 30 100 NonSmoker 35 65…

Answered: 100 smokers and 100 non-smokers were…

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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A study was conducted to examine the impact of speaking in public on college students. A class of 15 statistics students participated in the study. At the beginning of a lecture the students recorded their systolic blood pressure. During the lecture the instructor called on each student to stand and answer questions about topics in the lecture. After speaking the students once again recorded their blood pressure. The resulting values are given below along with summary statistics. before 107 123 128 125 136 108 130 113 105 136 146 138 108 149 132 after 141 142 146 136 144 111 132 114 103 133 140 130 100 133 113 difference -34 -19 -18 -11 -8 -3 -2 -1 2 3 6 8 8 16 19 before after difference mean 125.6 127.9 -2.267 st dev 14.53 15.45 14.03 Does this information indicate that blood pressure increased because of speaking? Conduct an appropriate hypothesis test and show appropriate steps. Let μ1 mean systolic blood pressure before speaking in public, and μ2 mean…
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