Please show using TI-83
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 | 15 | 41 |
B | 72 | 5 | 31 |
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 = 0.05?
Critical Value:
χ2=χ2=
(d) What is the correct conclusion of this hypothesis test at the 0.05 significance level?
Remember to give all answers rounded to 3 places after the decimal point, if necessary.
The statistical software output for this problem is :
Contingency table results:
Rows: var2
Columns: None
Cell format |
---|
Count (Expected count) |
X | Y | Z | Total | |
---|---|---|---|---|
A | 28 (43.75) |
15 (8.75) |
41 (31.5) |
84 |
B | 72 (56.25) |
5 (11.25) |
31 (40.5) |
108 |
Total | 100 | 20 | 72 | 192 |
Chi-Square test:
Statistic | DF | Value | P-value |
---|---|---|---|
Chi-square | 2 | 23.109982 | <0.0001 |
Test statistics = 23.110
Critical value = 5.991
There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.
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