Ho: given two variable are independent
H1: Given two variables are not independent
Chi-Square Test of independence | |||||||
Observed Frequencies | |||||||
afarm | country | city | Total | ||||
no | 144 | 342 | 1366 | 1852 | |||
yes | 305 | 800 | 3049 | 4154 | |||
Total | 449 | 1142 | 4415 | 6006 | |||
Expected frequency of a cell = sum of row*sum of column / total sum | |||||||
Expected Frequencies | |||||||
afarm | country | city | Total | ||||
no | 449*1852/6006=138.453 | 1142*1852/6006=352.145 | 4415*1852/6006=1361.402 | 1852 | |||
yes | 449*4154/6006=310.547 | 1142*4154/6006=789.855 | 4415*4154/6006=3053.598 | 4154 | |||
Total | 449 | 1142 | 4415 | 6006 |
(fo-fe)^2/fe | afarm | country | city | total | |||
no | 0.222 | 0.292 | 0.016 | 0.530 | |||
yes | 0.099 | 0.130 | 0.007 | 0.236 |
Chi-Square Test Statistic,χ² = Σ(fo-fe)^2/fe
= 0.766
Level of Significance = 0.05
Number of Rows = 2
Number of Columns = 3
Degrees of Freedom=(#row - 1)(#column -1) = (2- 1 ) * ( 3- 1 )
= 2
p-Value = 0.682 [Excel function:
=CHISQ.DIST.RT(χ²,df) ]
Decision: p value > α , do not reject
Ho
so, there is no association between enviorment and alcohol consumption
..............
Please let me know in case of any doubt.
Thanks in advance!
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