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For each of the following situations give the degrees of freedom and an appropriate bound on...

For each of the following situations give the degrees of freedom and an appropriate bound on the P-value (give the exact value if you have software available) for the χ2 statistic for testing the null hypothesis of no association between the row and column variables.

(a) A 2 by 2 table with χ2 = 0.94.

df = 1
P-value = 2


(b) A 4 by 4 table with χ2 = 17.32.

df = 3
P-value = 4


(c) A 2 by 8 table with χ2 = 22.47.

df = 5
P-value = 6


(d) A 5 by 3 table with χ2 = 13.26.

df = 7
P-value = 8
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Answer #1

(a). For a 2 X 2 table with chi ^{2} = 0.94,

(1). the value of  the degrees of freedom is = (k-1)(l-1) = (2-1)×(2-1)=1×1=1 .

(2). The P-value of chi ^{2} test is Pl)->= X2) = 0.332278 , at 0.05 level of significance.

(b). For a 4×4 table with chi ^{2} = 17.32,

(3). The value of  the degrees of freedom is = (k-1)(l-1) =(4-1)×(4-1)=3×3=9

(4). The P-value of chi ^{2} test is Pl)->= X2) = 0.043934 , at 0.05 level of significance

(c). For a 2 X 8 table with chi ^{2} = 22.47,

(5). ​The value of  the degrees of freedom is = (k-1)(l-1) =(2-1)×(8-1)=1×7=7

(6). The P-value of chi ^{2} test is P(X >= X2) 0.002107 , at 0.05 level of significance

(d). For a 5 imes 3 table with chi ^{2} = 13.26,

  (7). The value of  the degrees of freedom is = (k-1)(l-1) =(5-1)×(3-1)=4×2=8

(8). The P-value of chi ^{2} test is PlX >= X2) = 0.103211 , at 0.05 level of significance

  

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