In: Statistics and Probability
An article included data from a survey of 2688 hiring managers
and human resource professionals. The article noted that many
employers are using social networks to screen job applicants and
that this practice is becoming more common. Of the 2688 people who
participated in the survey, 1100 indicated that they use social
networking sites (such as Facebook, MySpace, and LinkedIn) to
research job applicants.
For the purposes of this exercise, assume that the sample is
representative of hiring managers and human resource professionals.
Construct a 95% confidence interval for the proportion of hiring
managers and human resource professionals who use social networking
sites to research job applicants. (Round your answers to three
decimal places.)
(______,_______)
Solution :
Given that,
n = 2688
x = 1100
Point estimate = sample proportion = = x / n = 1100 / 2688 = 0.409
1 - = 1 - 0.409 = 0.591
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.96
Margin of error = E = Z / 2 * (( * (1 - )) / n)
= 1.96 * (((0.409*0.591) /2688 )
= 0.019
A 95% confidence interval for population proportion p is ,
- E < p < + E
0.409-0.019< p <0.409+0.019
0.391< p <0.428
The 95% confidence interval for the population proportion p is :(0.391 , 0.428)