15. a) Coefficient of Variation = (Standard
Deviation / Mean) * 100.
i.e.

we have
and
Coefficient of Variation = 
b) Chebyshev’s rule. For
any data set, the proportion (or percentage) of values that fall
within k standard deviations from mean i.e. ,
in the interval
is at least (
)
, where k > 1.
For k = 3, 1- 1/32 =0.889 = 88.9%
i.e. at least 88.9% data fall within 3 standard deviations from mean.
So 88.9% Chebyshev interval around mean is given by :
(20 - 3*2 , 20 +3*2)
88.9% Chebyshev interval around mean is (14 , 26)
15.| Basic Computation: Coefficient of Variation, Chebyshev Interval Consider population data with μ 20 and σ...
Kevlar epoxy is a material used on the NASA space shuttles. Strands of this epoxy were tested at the 90% breaking strength. The following data represent time to failure (in hours) for a random sample of 50 epoxy strands. Let x be a random variable representing time to failure (in hours) at 90% breaking strength 0.53 1.80 1.52 2.05 1.03 1.18 0.80 1.33 1.29 1.14 3.34 1.54 0.08 0.12 0.60 0.72 0.92 1.05 1.43 3.05 1.81 2.17 0.63 0.56 0.03...
Kevlar epoxy is a material used on the NASA space shuttles. Strands of this epoxy were tested at the 90% breaking strength. The following data represent time to failure (in hours) for a random sample of 50 epoxy strands. Let x be a random variable representing time to failure (in hours) at 90% breaking strength. 0.54 1.80 1.52 2.05 1.03 1.18 0.80 1.33 1.29 1.15 3.34 1.54 0.08 0.12 0.60 0.72 0.92 1.05 1.43 3.05 1.81 2.17 0.63 0.56 0.03...
Kevlar epoxy is a material used on the NASA space shuttles. Strands of this epoxy were tested at the 90% breaking strength. The following data represent time to failure (in hours) for a random sample of 50 epoxy strands. Let x be a random variable representing time to failure (in hours) at 90% breaking strength. 0.51 1.80 1.52 2.05 1.03 1.18 0.80 1.33 1.29 1.11 3.34 1.54 0.08 0.12 0.60 0.72 0.92 1.05 1.43 3.05 1.81 2.17 0.63 0.56 0.03...
Consider population data with μ = 40 and σ = 2. (a) Compute the coefficient of variation. (b) Compute an 88.9% Chebyshev interval around the population mean. Lower Limit Upper Limit