Question #63552

The masses of packages from a particular machine are normally distributed with a mean of 200g and a standard deviation of 2g. Find the probability that a randomly selected package from the machine weighs
(i) Less than 196g
(iii) Between 198.5g and 199.5g
1

Expert's answer

2016-11-22T12:45:15-0500

Answer on Question #63552 – Math – Statistics and Probability

Question

The masses of packages from a particular machine are normally distributed with a mean of 200g and a standard deviation of 2g. Find the probability that a randomly selected package from the machine weighs

(i) Less than 196g

(iii) Between 198.5g and 199.5g

Solution

Denote the mass of package by xx. Then


P(x1<x<x2)=x1x212πσe(xμ)22σ2dx,P(x_1 < x < x_2) = \int_{x_1}^{x_2} \frac{1}{\sqrt{2\pi}\sigma} e^{-\frac{(x - \mu)^2}{2\sigma^2}} dx,


where μ=200,σ=2\mu = 200, \sigma = 2.

Making the change of variable t=xμσt = \frac{x - \mu}{\sigma}, we get


P(x1<x<x2)=F(x2μσ)F(x1μσ),P(x_1 < x < x_2) = F\left(\frac{x_2 - \mu}{\sigma}\right) - F\left(\frac{x_1 - \mu}{\sigma}\right),


where F(x)=x12πet22dt=12+Φ(x)F(x) = \int_{-\infty}^{x} \frac{1}{\sqrt{2\pi}} e^{-\frac{t^2}{2}} dt = \frac{1}{2} + \Phi(x), Φ(x)=0x12πet22dt\Phi(x) = \int_{0}^{x} \frac{1}{\sqrt{2\pi}} e^{-\frac{t^2}{2}} dt.

For case (i) we get x1=,x2=196x_1 = -\infty, x_2 = 196. Taking into account that Φ(x)=Φ(x)\Phi(-x) = -\Phi(x), we have


P(x<196)=F((196200)2)=F(2)=12+Φ(2)=12Φ(2)0.50.4773=0.0227.P(x < 196) = F\left(\frac{(196 - 200)}{2}\right) = F(-2) = \frac{1}{2} + \Phi(-2) = \frac{1}{2} - \Phi(2) \approx 0.5 - 0.4773 = 0.0227.


For case (iii) we get x1=198.5x_1 = 198.5, x2=199.5x_2 = 199.5.

Hence


P(x1<x<x2)=F(199.52002)F(198.52002)=12+Φ(199.52002)(12+Φ(198.52002))==Φ(199.52002)Φ(198.52002)=Φ(0.25)Φ(0.75)=Φ(0.75)Φ(0.25)0.27340.0987=0.1747.\begin{aligned} P(x_1 < x < x_2) &= F\left(\frac{199.5 - 200}{2}\right) - F\left(\frac{198.5 - 200}{2}\right) \\ &= \frac{1}{2} + \Phi\left(\frac{199.5 - 200}{2}\right) - \left(\frac{1}{2} + \Phi\left(\frac{198.5 - 200}{2}\right)\right) = \\ &= \Phi\left(\frac{199.5 - 200}{2}\right) - \Phi\left(\frac{198.5 - 200}{2}\right) = \Phi(-0.25) - \Phi(-0.75) \\ &= \Phi(0.75) - \Phi(0.25) \approx 0.2734 - 0.0987 = 0.1747. \end{aligned}


Here the function Φ\Phi can be evaluated by means of statistical tables or using the cumulative distribution function of the standard normal distribution.

**Answer**: (i) 0.0227; (iii) 0.1747.

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