In: Statistics and Probability
You are conducting a test of the claim that the row variable and the column variable are dependent in the following contingency table.
X | Y | Z | |
---|---|---|---|
A | 28 | 11 | 14 |
B | 26 | 24 | 40 |
Give all answers rounded to 3 places after the decimal point, if necessary.
(a) Enter the expected frequencies below:
X | Y | Z | |
---|---|---|---|
A | |||
B |
(b) What is the chi-square test-statistic for
this data?
Test Statistic: χ2=χ2=
(c) What is the critical value for this test of
independence when using a significance level of αα = 0.01?
Critical Value:
χ2=χ2=
(d) What is the correct conclusion of this hypothesis test at the 0.01 significance level?
Remember to give all answers rounded to 3 places after the decimal point, if necessary.
X | Y | Z | Total | |
A | 28 | 11 | 14 | 53 |
B | 26 | 24 | 40 | 90 |
Total | 54 | 35 | 54 | 143 |
(a) Enter the expected frequencies below:
Expected value = r total* c total / overall Total
Eg: X and A = 53 * 54 / 143
expected | X | Y | Z | Total |
A | 20.014 | 12.972 | 20.014 | 53 |
B | 33.986 | 22.028 | 33.986 | 90 |
Total | 54 | 35 | 54 | 143 |
(b) What is the chi-square test-statistic for this data?
X | Y | Z | |
A | 3.1866 | 0.29979 | 1.8071 |
B | 1.8765 | 0.17654 | 1.0642 |
Test Statistic: χ2=
test Stat = 8.4108
(c) What is the critical value for this test of
independence when using a significance level of αα = 0.01?
. df = (r -1) * (c -1) ...................... r = no. of rows and c = no. of columns
= 1 * 2
= 2
Critical Value: C.V. =
=
CV. = 9.2103 .................using chi-square tables
Null: The row and col are independent
Alternative: The row and col are not independent that is they are dependent.
(d) What is the correct conclusion of this hypothesis test at the 0.01 significance level?
Since |Test stat| < C.V.
we do not reject the null hypothesis at 1%.