In: Statistics and Probability
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 = 0.97.
df = | |
P-value = |
(b) A 4 by 4 table with χ2 =
18.55.
df = | |
P-value = |
(c) A 2 by 8 table with χ2 =
23.16.
df = | |
P-value = |
(d) A 5 by 3 table with χ2 =
13.26.
df = | |
P-value = |
The distribution of the statistic X2 is chi-square with (r-1)(c-1)
a) A 2 by 2 table with χ2 = 0.97
df=(2-1)(2-1)=1
P-value=P(X2>=0.97)
=CHIDIST(0.97,1)
= 0.32468
Since p-value is greater than 0.05, fail to reject the null hypothesis of no association between row and column variables.
b) A 4 by 4 table with χ2 = 18.55.
df=(4-1)(4-1)=3*3=9
P-value=P(X2>=18.55)
=CHIDIST(18.55,9)
= 0.029303
Since p-value is lower than 0.05, we reject the null hypothesis of association between row and column variables.
c) A 2 by 8 table with χ2 = 23.16.
df=(2-1)(8-1)=1*7=7
P-value=P(X2>=23.16)
=CHIDIST(23.16,7)
= 0.001599
Since p-value is lower than 0.05, we reject the null hypothesis of association between row and column variables.
(d) A 5 by 3 table with χ2 = 13.26.
df=(5-1)(3-1)=4*2=8
P-value=P(X2>=13.26)
=CHIDIST(13.26,8)
=0.103211
Since p-value is greater than 0.05, fail to reject the null hypothesis of no association between row and column variables.