In: Statistics and Probability
There are a number of studies which show that women engage in more private religious rituals and daily prayer than men, who tend to engage in more public religious rituals. A researcher would like to discover if there is a relationship between gender and religious type, that is extrinsically religious (publicly religious), intrinsically religious (personally religious) or nonreligious. Perform the appropriate test (α = 0.05)
Male extrinsic 9
Female extrinsic 9
Male intrinsic 14
Female intrinsic 16
Male non religious 12
Female non religious 6
The given problem has to be solved using the Chi-square test of association. In order to do so, define the null and alternate hypothesis as shown below:
: The gender and
religious type are independent, that is, gender does not influence
the religious beliefs of a person, versus,
: The gender and
religious type are dependent, that is, gender influences the
religious beliefs of a person.
The observed frequencies, ,
can be tabulated in the following format:
Religious Type\ Gender |
Extrinsic | Intrinsic | Non-religious | Total |
---|---|---|---|---|
Male | 9 | 14 | 12 | 35 |
Female | 6 | 16 | 6 | 28 |
Total | 15 | 30 | 18 | 63 |
Now, the expected frequencies need to computed using the formula:
where column total and row total is sum of the values contained in the column and row, respectively, of the cell whose expected counted need to be computed.
The table showing the expected
frequencies, , is shown
below:
Thus, the following table is
obtained for :
The test statistic value, , is
calculated using the following formula:
The test statistic value follows the
chi square distribution, with
degrees of freedom, where, m and n denotes the number of
rows and columns respectively.
The table contains two rows and
three columns. Hence,
. This implies:
Therefore, the right tail critical
value at level
of significance is and 2 degrees of freedom is compued using the
formula
in
MS-Excel. The screenshot is shown below:
Hence,
.
Since, the calculated value of test statistic is less than the critical value, so, there is an insufficient evidence to reject the null hypothesis and it can be concluded that the gender and religious type are not associated with each other.