In: Statistics and Probability
The following information is provided: The sample size is N=12, the number of favorable cases is X=4, and the sample proportion is p = 4/12 = 0.3333, and the significance level is α=0.05
(1) Null and Alternative Hypotheses
The following null and alternative hypotheses need to be tested:
Ho: p = 0.54
Ha:p<0.54
This corresponds to a left-tailed test, for which a z-test for one population proportion needs to be used.
(2) Rejection Region
Based on the information provided, the significance level is α=0.05, and the critical value for a left-tailed test is zc=−1.64.
The rejection region for this left-tailed test isR={z:z<−1.64}
(3) Test Statistics
The z-statistic is computed as follows:
z=p0(1−p0) / npˉ−p0 = 0.54(1−0.54)/120.3333−0.54 =−1.436
(4) Decision about the null hypothesis
Since it is observed that z=−1.436 ≥ zc=−1.64, it is then concluded that the null hypothesis is not rejected.
Using the P-value approach: The at fewer than 4 of them use their smart phones in meetings or classes. p=0.0754, and since p=0.0754≥0.05, it is concluded that the null hypothesis is not rejected.
(5) Conclusion
It is concluded that the null hypothesis Ho is not rejected. Therefore, there is not enough evidence to claim that the population proportion pp is less than α=0.05 significance level.
Confidence Interval
The 95% confidence interval for fewer than 4 of them use their smart phones in meetings or classes. pp is: 0.067<p<0.6.