In: Statistics and Probability
The article “Measuring and Understanding the Aging of Kraft Insulating Paper in Power Transformers” (IEEE Electrical Insul. Mag., 1996: 28–34) contained the following observations on degree of polymerization for paper specimens for which viscosity times concentration fell in a certain middle range:
418, 434, 454, 421, 437, 463, 421, 439, 465, 422, 446, 425, 447, 427, 448, 431, 453
(a) Calculate a 99% confidence interval for the true average degree of polymerization.
(b) Does the confidence interval suggest that µ = 435 is a plausible value for the true average degree of polymerization? (c) Does the confidence interval suggest that µ = 460 is a plausible value for the true average degree of polymerization?
Values ( X ) | Σ ( Xi- X̅ )2 | |
418 | 411.8505 | |
434 | 18.4393 | |
454 | 246.6753 | |
421 | 299.0859 | |
437 | 1.6747 | |
463 | 610.3815 | |
421 | 299.0859 | |
439 | 0.4983 | |
465 | 713.2051 | |
422 | 265.4977 | |
446 | 59.3809 | |
425 | 176.7331 | |
447 | 75.7927 | |
427 | 127.5567 | |
448 | 94.2045 | |
431 | 53.2039 | |
453 | 216.2635 | |
Total | 7451 | 3669.5295 |
Mean X̅ = Σ Xi / n
X̅ = 7451 / 17 = 438.2941
Sample Standard deviation SX = √ ( (Xi - X̅
)2 / n - 1 )
SX = √ ( 3669.5295 / 17 -1 ) = 15.1442
Confidence Interval
X̅ ± t(α/2, n-1) S/√(n)
t(α/2, n-1) = t(0.01 /2, 17- 1 ) = 2.921
438.2941 ± t(0.01/2, 17 -1) * 15.1442/√(17)
Lower Limit = 438.2941 - t(0.01/2, 17 -1) 15.1442/√(17)
Lower Limit = 427.5652
Upper Limit = 438.2941 + t(0.01/2, 17 -1) 15.1442/√(17)
Upper Limit = 449.023
99% Confidence interval is ( 427.5652 , 449.023
)
Part b)
µ = 435
Since the value µ = 435 lies in the interval, hence we can suggest that µ = 435 is a plausible value for the true average degree of polymerization.
Part c)
µ = 460
Since the value µ = 460 does not lies in the interval, hence we can not suggest that µ = 460 is a plausible value for the true average degree of polymerization.