Six Sigma and Beyond: Statistics and Probability, Volume III
If we consider each die as an independent random variable, then a uniform probability distribution will be the result and will take the shape shown in Figure 16.8.
With mean value of single die:
Variance about mean:
Standard deviation: S D = 1.708
The uniform distribution may be represented in general mathematical notation along with the constraints as:
and the shape looks like Figure 16.9.
When checking for the probability density function of a uniform distribution one should check the following two properties:
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Positive: f {X; a,b) ‰ O
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Unit area:
Note | Height of p.d.f. is equal to the reciprocal of the base. Figure 16.10 shows the comparison of the uniform distribution and the cumulative density function. |
The mathematical notation of the c.d.f. with the constraints is:
Mean:
Variance:
The reader will notice that in the uniform distribution, (1) median = mean, and (2) there is no mode.
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Sound level in a room is found to be uniformly distributed between 80 and 95 dBA. Occupational Safety and Health Administration (OSHA) regulations set a maximum safe level of 90 dBA for an 8- hour workday . See Figure 16.11.
Find:
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The probability density function, f(x) for this noise
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The probability of exceeding the 90 dBA standard
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The mean and standard deviation
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The level range within ± 1 ƒ of the mean
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The probability of being in this ± 1 ƒ about the mean
Solutions:
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f(X) = 1/15; 80 ‰ x ‰ 95
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Probability of exceeding 90 dBA:
P(> 90) = 1 - P(x ‰ 90) = 1 - F(x = 90)
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Mean:
Standard Deviation:
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One-sigma range about mean: ( ¼ - 1 ƒ ) ‰ x ‰ ( ¼ + 1 ƒ )
83.2 ‰ x ‰ 91.8
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Probability of SPL being in this one-sigma range
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