In: Statistics and Probability
A machine produces metal rods used in an automobile suspension system. A random sample of 15 rods is selected, and the diameter is measured. The resulting data (in millimeters) are as follows:
8.24, 8.25, 8.20, 8.23, 8.24, 8.21, 8.26, 8.26, 8.20, 8.25, 8.23, 8.23, 8.19, 8.25, 8.24.
You have to find a 95% two-sided confidence interval on mean rod diameter. What is the upper value of the 95% CI of mean rod diameter? Please report your answer to 3 decimal places.
Solution :
Given that,
x | x2 |
8.24 | 67.8976 |
8.25 | 68.0625 |
8.2 | 67.24 |
8.23 | 67.7329 |
8.24 | 67.8976 |
8.21 | 67.4041 |
8.26 | 68.2276 |
8.26 | 68.2276 |
8.2 | 67.24 |
8.25 | 68.0625 |
8.23 | 67.7329 |
8.23 | 67.7329 |
8.19 | 67.0761 |
8.25 | 68.0625 |
8.24 | 67.8976 |
--- | --- |
∑x=123.48 | ∑x2=1016.4944 |
Mean ˉx=∑xn
=8.24+8.25+8.2+8.23+8.24+8.21+8.26+8.26+8.2+8.25+8.23+8.23+8.19+8.25+8.2415
=123.4815
=8.232
Sample Standard deviation S=√∑x2-(∑x)2nn-1
=√1016.4944-(123.48)21514
=√1016.4944-1016.487414
=√0.00714
=√0.0005
=0.0224
n = 15
Degrees of freedom = df = n - 1 = 15 - 1 = 14
At 95% confidence level the t is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
t /2,df = t0.025,14 =2.145
Margin of error = E = t/2,df * (s /n)
= 2.145 * (0.022 / 15)
=0.012
Margin of error = 0.012
The 95% confidence interval estimate of the population mean is,
- E < < + E
8.232 - 0.012 < < 8.232 + 0.012
8.220 < < 8.244
(2.70, 3.70 )