Question

In: Statistics and Probability

You are conducting a test of the claim that the row variable and the column variable...

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?

  • There is sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.
  • There is sufficient evidence to support the claim that the row and column variables are dependent.
  • There is not sufficient evidence to support the claim that the row and column variables are dependent.
  • There is not sufficient evidence to warrant rejection of the claim that the row and column variables are dependent.

Remember to give all answers rounded to 3 places after the decimal point, if necessary.

Solutions

Expert Solution

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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