A survey of College students was conducted to see how many go to sporting events on campus. From the 1,365 students that were asked, 863 students said they attend events. Construct a 99% coincidence interval of the student that do not attend sporting events.
Solution:
Sample size = n = 1365
Number of students who attend events = 863
So ,
Number of students who do not attend events = 1365 - 863 = 502
Our aim is to confidence interval for proportion of the student that do not attend sporting events.
So , take x = 502
Let denotes the sample proportion
= x/n = 502/1365 = 0.368
Our aim is to construct 99% confidence interval.
c = 0.99
= 1 - c = 1- 0.99 = 0.01
/2 = 0.005 and 1- /2 = 0.995
Search the probability 0.995 in the Z table and see corresponding z value
= 2.576
Now , the margin of error is given by
E = /2 *
= 2.576 * [0.368 *(1 - 0.368)/1365]
= 0.034
Now the confidence interval is given by
( - E) ( + E)
(0.368 - 0.034) (0.368 + 0.034)
0.334 0.402
i.e.
(0.334 , 0.402)
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