or a process with a mean of 100, a standard deviation of 10 and an upper specification of 120, what is the probability that a randomly selected item is defective(or beyond the upper specification limit)?
X∼N(μ,σ2)X\sim N(\mu, \sigma^2)X∼N(μ,σ2)
Then Z=X−μσ/∼N(0,1)Z=\dfrac{X-\mu}{\sigma/}\sim N(0, 1)Z=σ/X−μ∼N(0,1)
Given μ=100,σ=10\mu=100, \sigma=10μ=100,σ=10
120−10010=2\dfrac{120-100}{10}=210120−100=2
95% of data fall with 2 standard deviations of the mean
P(X>120)≈1−0.952=0.025P(X>120)\approx\dfrac{1-0.95}{2}=0.025P(X>120)≈21−0.95=0.025
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