In: Statistics and Probability
Psychologists are interested in finding out what proportion of men and women have ended a budding relationship because a kiss did not go well. A survey was administered to a random sample of adults and asked each individual to disclose whether they ended a budding relationship because a kiss did not go well. The results of the survey are summarized in the table.
Men |
Women |
|
No |
45 |
39 |
Yes |
15 |
21 |
Please show formula for test statistic used and steps used to retrieve answer for clarity.
a) The sampling method used is in the study is independent , as each individual sampled do not have any affect on any other individual to be sampled .
b) The 2 X 2 contingency table is
men | women | total | |
no | 45 | 39 | 84 |
yes | 15 | 21 | 36 |
total | 60 | 60 | 120 |
point estimate of proportion is the sample proportion
sample proportion of men who ended a budding relationship, = 15/60= 0.25
sample proportion of women who ended a budding relationship, = 21/60 =0.35
c) Step 1 :The null hypothesis is
Step 2: The alternative hypothesis is
Step 3 : Test criteria
The critical value of z at level of significance is , zc =- 1.65 ( left tailed )
Reject H0 if calculated z < -1.65
Step 4:
Test statistic
Test statistic
where
P= (15+21)/120 = 0.30
Q= 1-P =0.70
thus ,
Step5 : Comparison
As calculated z > -1.65
Fail to reject the null hypothesis
Step 6 : Conclusion
At 5% level of significance , there is not enough evidence to conclude that lower proportion of men have ended a relationship than women .
d) The 90% confidence interval for difference in proportion is
= (-0.24 , 0.04)
Since the confidence interval include zero ( lower and upper limit are at two sides of zero)
The difference is not significant
The sample do not provide enough evidence to conclude that lower proportion of men have ended a relationship than women .
Note : For 90% confidence , zc =1.65
Note : The confidence interval is expected to contain true difference in proportion
Thus confidence interval include 0 , means we cannot conclude that the true difference is not zero
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