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Observed Counts 25-34 35-44 Age 45-54 (years) 55-64 65 or older Total did not complete high school 27 A. Exactly 12 of them 50 52 71 101 301 B. At least 12 of them C. At least 16 of them Education completed high school 82 19 88 83 59 331 college, 1-3 college, 4 or years more years 43 56 26 20 20 165 48 75 34 26 20 203 Total 1. In order for the Chi Square test to be appropriate for the data, how many expected counts need to be greater than or equal to 5? 200 200 200 200 200 1000

Observed Counts 25-34 35-44 Age 45-54 (years) 55-64 65 or older Total did not complete high school 27 A. Exactly 12 of them 50 52 71 101 301 B. At least 12 of them C. At least 16 of them Education completed high school 82 19 88 83 59 331 college, 1-3 college, 4 or years more years 43 56 26 20 20 165 48 75 34 26 20 203 Total 1. In order for the Chi Square test to be appropriate for the data, how many expected counts need to be greater than or equal to 5? 200 200 200 200 200 1000

MATLAB: An Introduction with Applications
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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Observed Counts 25-34 35-44 Age 45-54 (years) 55-64 65 or older Total did not complete high school 27 50 52 71 101 301 A. B. At least 12 of them C. At least 16 of them D. All 20 of them completed high school 82 19 88 83 59 331 Education college, 1-3 college, 4 or years more years Education is not associated with age Age does not depend on education 43 56 26 20 20 165 2. Which of the following is the null hypothesis? A. Age depends on education B. Education is associated with age C. D. 2 48 75 34 26 20 203 1. In order for the Chi Square test to be appropriate for the data, how many expected counts need to be greater than or equal to 5? Exactly 12 of them Total 200 200 200 200 200 1000 If an error is being made here, what type would it be? Type 1: Concluding that education influences age, when that is not the case Type 2: Concluding that education influences age, when that is not the case Type 1: Concluding that age affects education when that is not the case Type 2: Concluding that age affects education when that is not the case Type 1: Not concluding that there is an association between age and education when there actually is an association Type 2: Not concluding that there is an association between age and education when there actually is an association
Transcribed Image Text:Observed Counts 25-34 35-44 Age 45-54 (years) 55-64 65 or older Total did not complete high school 27 50 52 71 101 301 A. B. At least 12 of them C. At least 16 of them D. All 20 of them completed high school 82 19 88 83 59 331 Education college, 1-3 college, 4 or years more years Education is not associated with age Age does not depend on education 43 56 26 20 20 165 2. Which of the following is the null hypothesis? A. Age depends on education B. Education is associated with age C. D. 2 48 75 34 26 20 203 1. In order for the Chi Square test to be appropriate for the data, how many expected counts need to be greater than or equal to 5? Exactly 12 of them Total 200 200 200 200 200 1000 If an error is being made here, what type would it be? Type 1: Concluding that education influences age, when that is not the case Type 2: Concluding that education influences age, when that is not the case Type 1: Concluding that age affects education when that is not the case Type 2: Concluding that age affects education when that is not the case Type 1: Not concluding that there is an association between age and education when there actually is an association Type 2: Not concluding that there is an association between age and education when there actually is an association
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