Application Exercise:
A neighborhood council is interested in the family income and
medical care expenditures of its community. In particular, it is
believed that more medical care expenditures is related to lower
income. Below are family income (per 1,000 dollars) and medical
care expenditure (per 100 dollars) data from a random sample of
households in the community. What can be concluded with an
α of 0.05?
family income | medical care |
8 5 9 11 14 16 17 18 18 21 |
21 16 18 13 12 15 7 8 2 8 |
a) What is the appropriate statistic?
---Select--- na Correlation Slope Chi-Square
Compute the statistic selected in
a):
b) Obtain/compute the appropriate values to make a
decision about H0.
(Hint: Make sure to write down the null and alternative hypotheses
to help solve the problem.)
critical value = ; test statistic =
Decision: ---Select--- Reject H0 Fail to reject H0
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size = ; ---Select--- na trivial
effect small effect medium effect large effect
d) Make an interpretation based on the
results.
There was a significant positive relationship between medical care expenditures and family income.
There was a significant negative relationship between medical care expenditures and family income.
There was no significant relationship between medical care expenditures and family income.
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