In: Statistics and Probability
A random sample with 150 students has 45 female students. Estimate the population proportion of female students at the 99% level of confidence.
a. Find the right boundary of the estimation?
b. Find the margin of error.
Here from a random sample of 150 students, 45 are female students which is a sample proportion of which means 30% of the students in the sample are female.
Firstly we will have to calculate the margin of error:
margin of error = where z is the z-score, n=population size, = sample proportion.
Here = 30%, n = 150 and z-score for 99% confidence interval is 2.575 (see the table below)
Confidence Level | Critical Value (Z-score) |
0.90 | 1.645 |
0.91 | 1.70 |
0.92 | 1.75 |
0.93 | 1.81 |
0.94 | 1.88 |
0.95 | 1.96 |
0.96 | 2.05 |
0.97 | 2.17 |
0.98 | 2.33 |
0.99 | 2.575 |
Now putting these values in the formula we get:
= 9.635%
Hence margin of error is 9.635%.
We can interpret the margin of error by saying we are 99% confident that the proportion of all students who are female is within 0.9635 of our sample proportion of 0.30. We can then write the interval in the following form:
where MOE = Margin Of Error
When we add and subtract the margin of error from the sample proportion, the confidence interval is -0.6635 to 1.2635
Hence the right boundary of the estimation = 1.2635
We are 99% confident that the proportion of all students who are female is between -0.6635 to 1.2635.