In: Statistics and Probability
A random sample of stock prices per share (in dollars) is shown. Find the 92% confidence interval for the mean stock price. Assume the population of stock prices is normally distributed.
26.6 |
75.37 |
3.81 |
28.37 |
40.25 |
13.88 |
53.8 |
28.25 |
10.87 |
12.25 |
Solution =
We are given a data of sample size n = 10
26.6,75.37,3.81,28.37,40.25,13.88,53.8,28.25,10.87,12.25
Using this, first we find sample mean() and sample standard deviation(s).
=
= (26.6 + 75.37.......+ 12.25)/10
= 29.35
Now ,
s=
Using given data, find Xi - for each term.Take square for each.Then we can easily find s.
s = 22.03
Note that, Population standard deviation() is unknown..So we use t distribution.
Our aim is to construct 92% confidence interval.
c = 0.92
= 1- c = 1- 0.92 = 0.08
/2 = 0.08 2 = 0.04
Also, d.f = n - 1 = 9
= = 0.04,9 = 1.973
( use t table or t calculator to find this value..)
The margin of error is given by
E = /2,d.f. * ( / n)
= 1.973 * ( 22.03/ 10 )
= 13.742
Now , confidence interval for mean() is given by:
( - E ) < < ( + E)
( 29.35 - 13.742 ) < < ( 29.35 + 13.742 )
15.608 < < 43.092
Required 92% Confidence interval is ( 15.608 , 43.092 )