In: Statistics and Probability
Soil samples from nine locations at a site are taken to determine the bearing capacity in kN/m^2. The results are summarized:
23.1, 42.4, 30.3, 31.0, 28.4, 39.3, 32.4, 27.4, 38.0
(a) Estimate the mean, standard deviation, and COV of the data
(b) Compute the standard error of the mean.
(c) Establish 95 percent confidence intervals for the mean.
(d) Using the COV from (a) how many samples must be tested to have +/- 10 percent error for the mean at 95 percent confidence?
(a)
(i)
Mean () is given by:
(ii)
x | x - | (x - )2 |
23.1 | - 9.3778 | 87.9427 |
42.4 | 9.9222 | 98.4505 |
30.3 | - 2.1778 | 4.7427 |
31.0 | - 1.4778 | 2.1838 |
28.4 | - 4.0778 | 16.6283 |
39.3 | 6.8222 | 46.5427 |
32.4 | - 0.0778 | 0.0060 |
27.4 | - 5.0778 | 25.7838 |
38.0 | 5.5222 | 30.4949 |
Total = | 312.7756 |
Standard Deviation (s) is given by:
(iii)
Coefficient of Variation (CV) is given by:
%
(b)
Standard Error f Man is given by:
(c)
= 0.05
ndf = 9 - 1 = 8
From Table, critical values of t = 2.3060
Confidence Interval:
32.4778 (2.3060 X 2.0843)
= 32.4778 4.8063
= (27.6715 , 37.2841)
Confidence Interval:
27.6715 < < 37.2841
(d)
Number of samples (n) is given by:
Given:
= 0.05
From Table, critical values of Z = 1.96
= 6.2528
e = 0.10
Substituting we get:
So,
Answer is:
25