In: Statistics and Probability
An instructor at a major research university occasionally teaches summer session and notices that that there are often students repeating the class. Out of curiosity, she designs a random sample of students enrolled in summer sessions and counts the number repeating a class. She counts 105 students in the sample, of which 19 are repeating the class. The university enrolls 15,000 students.
A 95% confidence interval is given by:
(0.09, 0.272).
(0.107, 0.255).
(0.15, 0.23).
(0.345, 0.453).
Solution :
Given,
n = 105 ....... Sample size
x = 19 .......no. of successes in the sample
Let denotes the sample proportion.
= x/n = 19 / 105 = 0.181
Our aim is to construct 95% confidence interval.
c = 0.95
= 1- c = 1- 0.95 = 0.05
/2 = 0.025 and 1- /2 = 0.975
Search the probability 0.975 in the Z table and see corresponding z value
= 1.96
Now , the margin of error is given by
E = /2 *
= 1.96 * [ 0.181 *(1 - 0.181 )/105]
= 0.074
Now the confidence interval is given by
( - E) ( + E)
( 0.181 - 0.074 ) ( 0.181 + 0.074 )
0.107 0.255
Required 95% Confidence Interval is ( 0.107 , 0.255 )