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 | 51 | 19 | 43 |
B | 42 | 19 | 39 |
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=
(c) What is the critical value for this test of
independence when using a significance level of αα = 0.025?
Critical Value: χ2=
(d) What is the correct conclusion of this hypothesis test at the 0.025 significance level?
Remember to give all answers rounded to 3 places after the decimal point, if necessary.
Test Statistic
O : Observed Frequency
E: Expected Frequency
Observed Counts/Frequency | X | Y | Z | Row Total |
A | 51 | 19 | 43 | 113 |
B | 42 | 19 | 39 | 100 |
Column Total | 93 | 38 | 82 | 213 |
(a) Enter the expected frequencies
E: Expected Count/Frequency | X | Y | Z |
A | (113*93) / 213 | (113*38) / 213 | (113*82) / 213 |
B | (100*93) / 213 | (100*38) / 213 | (100*82) / 213 |
E: Expected Count/Frequency | X | Y | Z |
A | 49.338 | 20.160 | 43.502 |
B | 43.662 | 17.840 | 38.498 |
(b) What is the chi-square test-statistic for this data?
O | E | O-E | ||
51 | 49.3380 | 1.6620 | 2.7622 | 0.0560 |
19 | 20.1596 | -1.1596 | 1.3447 | 0.0667 |
43 | 43.5023 | -0.5023 | 0.2524 | 0.0058 |
42 | 43.6620 | -1.6620 | 2.7622 | 0.0633 |
19 | 17.8404 | 1.1596 | 1.3447 | 0.0754 |
39 | 38.4977 | 0.5023 | 0.2524 | 0.0066 |
Total | =0.2737 |
Test Statistic: = 0.274
(c) What is the critical value for this test of independence when using a significance level of = 0.025?
Degrees of freedom= (Number of rows-1)x(number of columns-1) = (2-1)x(3-1)=2
For 2 degrees of freedom, Critical value : for : 0.025 = 7.378
Critical Value: =7.378
d) What is the correct conclusion of this hypothesis test at the 0.025 significance level?
As value of the test statistic : = 0.274 < Critical Value: =7.378 ; Fail to reject the null hypothesis.
There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.
Correction :
There is not sufficient evidence to support the claim that the row and column variables are dependent.
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(0 - E)
(O - E2/E
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