In: Statistics and Probability
A magazine published data on the best small firms in a certain year. These were firms that had been publicly traded for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table below shows the ages of the corporate CEOs for a random sample of these firms. 49 57 51 60 57 59 74 63 53 50 59 60 60 57 46 55 63 57 47 55 57 43 61 62 49 67 67 55 55 49 Use this sample data to construct a 90% confidence interval for the mean age of CEO's for these top small firms. Use the Student's t-distribution. (Round your answers to two decimal places.) ,
49, 57, 51, 60, 57, 59, 74, 63, 53, 50, 59, 60, 60, 57, 46, 55, 63, 57, 47, 55, 57, 43, 61, 62, 49, 67, 67, 55, 55, 49
Solution:
sample size = n = 30
x | x2 |
49 | 2401 |
57 | 3249 |
51 | 2601 |
60 | 3600 |
57 | 3249 |
59 | 3481 |
74 | 5476 |
63 | 3969 |
53 | 2809 |
50 | 2500 |
59 | 3481 |
60 | 3600 |
60 | 3600 |
57 | 3249 |
46 | 2116 |
55 | 3025 |
63 | 3969 |
57 | 3249 |
47 | 2209 |
55 | 3025 |
57 | 3249 |
43 | 1849 |
61 | 3721 |
62 | 3844 |
49 | 2401 |
67 | 4489 |
67 | 4489 |
55 | 3025 |
55 | 3025 |
49 | 2401 |
Sum = 1697 | 97351 |
Sample Mean = = 1697/30= 56.566666666667
Now ,
Sample variance s2 =
= [1/(30 - 1)][97351 - (16972/30) ]
= 46.805747126437
Now ,
sample standard deviation s = variance = 46.805747126437= 6.8414725846441
Note that, Population standard deviation() is unknown..So we use t distribution.
Our aim is to construct 90% confidence interval.
c = 0.90
= 1- c = 1- 0.90 = 0.10
/2 = 0.10 2 = 0.05
Also, d.f = n - 1 = 30 - 1 = 29
= = 0.05,29 = 1.699
( use t table or t calculator to find this value..)
The margin of error is given by
E = /2,d.f. * ( / n)
= 1.699 * (6.8414725846441 / 30)
= 2.12
Now , confidence interval for mean() is given by:
( - E ) < < ( + E)
(56.566666666667 - 2.12) < < (56.566666666667 + 2.12)
54.45 < < 58.69
Required 90% confidence interval for the mean age of CEO's for these top small firms is
54.45 < < 58.69
i.e.
(54.45 , 58.69)