In: Statistics and Probability
The 189 births from the study in the last question are cross-tabulated below with respect to mother’s race and if the birth was LBW or not. A chi-square statistic was calculated to test whether or not “race” was independent of LBW. The result was a calculated value of 8.20
LBW |
||||
No |
Yes |
total |
||
Race |
White |
76 |
20 |
96 |
Black |
14 |
12 |
26 |
|
Other |
43 |
24 |
67 |
|
total |
133 |
56 |
189 |
Solution:
Given: A chi-square statistic was calculated to test whether or not “race” was independent of LBW.
The result was a calculated value of 8.20
that is:
Part a) The degrees of freedom associated this chi-square statistic = [a].
We have R = Number of Rows = 3 and C = Number of Columns = 2
df = (R-1) X ( C - 1)
df = (3-1)X (2-1)
df = 2 X 1
df = 2
[a] = 2
Part b) The critical chi-square value, beyond which 5% of the chi-square distribution lies (α=0.05) = [b].
Look in Chi-square table for df = 2 row and right tail area = 0.05 and find corresponding critical value.
Thus [b] = 5.99
Part c) Is there a significant association between race and LBW based on the α=0.05 test (does 8.20 exceed the critical value?). [c]
Chi-square calculated value= exceed the critical value .
Thus we reject null hypothesis H0 and thus we conclude that there is a significant association between race and LBW.
Thus answer is: [c] = Yes.