Next we have to calculate the degrees of freedom such as,
(
r −
1)
×
(
c −
1)=(3
−
1)
×
(2
−
1)=2
Where,
r
=¿
number of column items, and
c
=¿
number of row items.
Now we compare our obtained statistic to the critical statistic found in the
Chi Square table. As we can see, for an alpha level of 0.05 and 2 degrees of
freedom, the critical statistic shown is 5.991 , which is less than our
obtained statistics of 9.83 .
Therefore we can reject the null hypothesis because the critical statistics is
higher than the obtained statistic.
