Question

In: Statistics and Probability

The article “Measuring and Understanding the Aging of Kraft Insulating Paper in Power Transformers” (IEEE Electrical...

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?

Solutions

Expert Solution

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.


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