The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group. Table 2 (image included) Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level. State the hypotheses to be tested: H0: H1: state the degrees of freedom for this test the p-value for this test, given that the chi-square test statistic, c2, is 11.029. state the conclusion for the test. Give reason for your answer.
The researcher is concerned that older persons may not be knowledgeable of the COFLU-20. As such, he is interested in investigating the association between the age of the respondents and their knowledge level. Table 2 below shows the knowledge level of respondents, by age group.
Table 2 (image included)
Conduct a test, at the 5% level of significance, to determine whether the data provided sufficient evidence to conclude that an association exists between age group and knowledge level.
- State the hypotheses to be tested:
H0:
H1:
- state the degrees of freedom for this test
- the p-value for this test, given that the chi-square test statistic, c2, is 11.029.
- state the conclusion for the test. Give reason for your answer.
Given information-
We have given a table showing knowledge level of respondents, by age group.
Significance level = 0.05
Chi-square test statistics = 11.029
We have to test that there is an association exists between age group and knowledge level.
Hypothesis Formulation-
Null Hypothesis, H0: There is no association exists between age group and knowledge level.
Alternate Hypothesis, Ha: There is an association exists between age group and knowledge level.
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