The diameters (in inches) of
1717
randomly selected bolts produced by a machine are listed. Use a
9595%
level of confidence to construct a confidence interval for (a) the population variance
sigma squaredσ2
and (b) the population standard deviation
sigmaσ.
Interpret the results.
4.4684.468 |
4.4364.436 |
4.0234.023 |
4.3134.313 |
4.0064.006 |
3.7783.778 |
|
3.8283.828 |
3.7473.747 |
4.2374.237 |
3.9393.939 |
4.1274.127 |
4.5734.573 |
|
3.9743.974 |
3.7573.757 |
3.8733.873 |
3.8143.814 |
4.4294.429 |
(a) The confidence interval for the population variance is
Values ( X ) | Σ ( Xi- X̅ )2 | |
4.468 | 0.1523 | |
3.828 | 0.0624 | |
3.974 | 0.0108 | |
4.436 | 0.1283 | |
3.747 | 0.1094 | |
3.757 | 0.1029 | |
4.023 | 0.003 | |
4.237 | 0.0253 | |
3.873 | 0.0419 | |
4.313 | 0.0553 | |
3.939 | 0.0193 | |
3.814 | 0.0696 | |
4.0 | 0.0052 | |
4.127 | 0.0024 | |
4.429 | 0.1233 | |
3.778 | 0.0899 | |
4.573 | 0.2452 | |
Total | 69.322 | 1.2465 |
Mean X̅ = Σ Xi / n
X̅ = 69.322 / 17 = 4.0778
Sample Standard deviation SX = √ ( (Xi - X̅
)2 / n - 1 )
SX = √ ( 1.2465 / 17 -1 ) = 0.2791
χ2 (0.05/2) = 28.8454
χ2 (1 - 0.05/2) ) = 6.9077
Lower Limit = (( 17-1 ) 0.0779 / χ2 (0.05/2) ) =
0.0432
Upper Limit = (( 17-1 ) 0.0779 / χ2 (0.05/2) ) =
0.1804
95% Confidence interval is ( 0.0432 , 0.1804 )
Part a)
( 0.0432 < σ2 < 0.1804 )
We are 95% confident that the true population variance lies within the interval.
Part b)
( 0.2079 < σ < 0.4248 )
We are 95% confident that the true population standard deviation lies within the interval.
The diameters (in inches) of 1717 randomly selected bolts produced by a machine are listed. Use...
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