The Observed frequency ware:
| 18-30 | 31-45 | 46-65 | >65 | ||
| Liberl | 49 | 71 | 68 | 91 | 279 |
| Conservative | 43 | 61 | 79 | 54 | 237 |
| Other | 28 | 18 | 13 | 25 | 84 |
| 120 | 150 | 160 | 170 | 600 |
The Hypotheses are :

: The voting preference of the population independent of the
age
: The voting preference of the population not
independent of the age
Hence, we calculate the expected frequencies in each category by multiplying the row and column totals and dividing by 600 :
| 18-30 | 31-45 | 46-65 | >65 | ||
| Liberl | 55.8 | 69.75 | 74.4 | 79.05 | 279 |
| Conservative | 47.4 | 59.25 | 63.2 | 67.15 | 237 |
| Other | 16.8 | 21 | 22.4 | 23.8 | 84 |
| 120 | 150 | 160 | 170 | 600 |
So, We can now calculate the value of Chi- square statistics
= (49-55.8)^2/55.8 + ......... +(25.23.8)^2/23.8
== 0.8287 + 0.0224+ 0.5505+ 1.806 + 0.4084 + 0.05168 + 3.92 + 2.575 +7.467 +0.4285 +3.945 +0.0605
=== 22.063
Now, the no. of degree of freedom is (3-1)(4-1) == 6
Test statistics === 22.063
We are carring out one side test . Our observed value of Test statistics exceeds 18.55 , the upper 0.5% point of chi sq . distribution of 6 degree of freedom .
So we have sufficent
evidence to reject
at the 0.5% level .
Therefore , the reasonable conclude that the ,
The voting preference of the population dependent of the age.
The p value is given by
p(
> 22.06)
1- p(
< 22.06) == 0.0012
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