A researcher notes that there seems to be a difference in the prevalence of individuals who are medication adherent and have high levels of education along with a high health literacy and the prevalence of individuals who are not medication adherent and have low levels of education along with a low health literacy. Use the appropriate hypothesis to determine if education level and health literacy status are related (independent) at the 5%. This is the first step in determining if confounding has influenced the study’s results. Then interpret your response.
Low Level of Education |
|||
Low Medication Adherence |
High Medication Adherence |
Total |
|
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 |
Total |
|
Low Health Literacy |
96 |
4 |
100 |
High Health Literacy |
4 |
296 |
300 |
Total |
100 |
300 |
400 |
A) The chi square value of 0 is lower 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 medication adherence status are not independent of one another.
B) The chi square value of 0 is lower than the chi square value of 3.84, therefore we can accept H0 and reject H1, which states that an individual’s level of health literacy and medication adherence status are not independent of one another.
C) The chi square value of 0 is lower 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 level of health literacy status are not independent of one another.
D) The chi square value of 0 is lower than the chi square value of 3.84, therefore we can accept H0 in reject H1, which states that an individual’s level of education and health literacy status are independent of one another.
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