Question #92853
Packets of milk powder produced by a machine were found to have a normal distribution with a mean mass of 650g and a standard deviation of 10g.

Find the probability that a packet selected at random will have a mass between 620g and 655g
If 500 packets are selected at random, how many of them will have a mass of more than 660g?
It is found that 10% of packets of milk powder will have a mass of less than k Calculate k.
1
Expert's answer
2019-08-21T03:59:18-0400

Suppose XX is a variable representing the mass of the packet of milk powder. XX is normally distributed with mean of 650 g and standard deviation of 10 g: 


XN(650,102)X\sim N(650, 10^2)

If XN(μ,σ2)X\sim N(\mu, \sigma^2), then Z=XμσN(1,0)Z={X-\mu \over \sigma}\sim N(1, 0)

The probability that a packet selected at random will have a mass between 620g and 655g 


P(620<X<655)=P(62065010<Z<65565010)=P(620<X<655)=P({620-650 \over 10}<Z<{655-650 \over 10})==P(3<Z<0.5)=F(0.5)F(3)==P(-3<Z<0.5)=F(0.5)-F(-3)==F(0.5)(1F(3))=0.6914620.001350==F(0.5)-(1-F(3))=0.691462-0.001350==0.690112=0.690112

If 500 packets are selected at random, how many of them will have a mass of more than 660g? 

Given that N=500.N=500.

P(X>660)=P(Z>66065010)=1F(1)=P(X>660)=P(Z>{660-650 \over 10})=1-F(1)==10.841345=0.158655=1-0.841345=0.158655n=NP(X>660)=5000.158655=79n=N\cdot P(X>660)=500\cdot 0.158655=79

It is found that 10% of packets of milk powder will have a mass of less than k .


P(X<k)=0.1P(X<k)=0.1P(X<k)=P(Z<k65010)=0.1P(X<k)=P(Z<{k-650 \over 10})=0.1k65010=1.281552{k-650 \over 10}=-1.281552

k=650101.281552637k=650-10\cdot1.281552\approx637

The probability that a packet selected at random will have a mass between 620g and 655g  is 0.690112.0.690112.

If 500 packets are selected at random, then 79 of then will have a mass of more than 660g.

It is found that 10% of packets of milk powder will have a mass of less than k=637 g .


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