A researcher notes that there seems to be a difference in the prevalence of individuals who are insured and have high levels of education along with a high socioeconimic status and the prevalence of individuals who are uninsured and have low levels of education along a low socioecnonomic status. Use the appropriate hypothesis to test for independence of two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then interpret your response. Low Level of Education Low Medication Adherance High Medication Adherence Low Health Literacy 91 9 100 High Health Literacy 9 291 300 Total 100 300 400 High Level of Education Low Medication Adherence High Medication Adherence Low Health Literacy 96 4 100 High Health Literacy 4 296 300 Total 100 300 400 Multiple Choice The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can accept H0 and reject H1, which states that an individual’s level of socioeconomic status and insurance status are not independent of one another. The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can accept H0 and reject H1, which states that an individual’s level of education and socioeconomic status are not independent of one another. The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can reject H0 in favor of H1, which states that an individual’s level of education and socioeconomic status are not independent of one another. The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can reject H0 in favor of H1, which states that an individual’s level of education and insurance status are not independent of one another

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 researcher notes that there seems to be a difference in the prevalence of individuals who are insured and have high levels of education along with a high socioeconimic status and the prevalence of individuals who are uninsured and have low levels of education along a low socioecnonomic status. Use the appropriate hypothesis to test for independence of two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then interpret your response.

	Low Level of Education
	Low Medication Adherance	High Medication Adherence
Low Health Literacy	91	9	100
High Health Literacy	9	291	300
Total	100	300	400
	High Level of Education
	Low Medication Adherence	High Medication Adherence
Low Health Literacy	96	4	100
High Health Literacy	4	296	300
Total	100	300	400

Multiple Choice

The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can accept H0 and reject H1, which states that an individual’s level of socioeconomic status and insurance status are not independent of one another.

The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can accept H0 and reject H1, which states that an individual’s level of education and socioeconomic status are not independent of one another.

The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can reject H0 in favor of H1, which states that an individual’s level of education and socioeconomic status are not independent of one another.

The chi-square value of 6.437 is higher than the chi-square value of 3.84, therefore we can reject H0 in favor of H1, which states that an individual’s level of education and insurance status are not independent of one another.

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