The number of unacceptable chocolate bars in a sample of 1000
1000
is a random variable π
X
which has the binomial distribution with parameters π=1000
n=1000
and π=0.10
πβΌBin(π=1000,π=0.10)
i.
To calculate the required probabilities we will use the normal approximation to the binomial distribution, that is
πβΌN(π=ππ,Ο^2=ππ(1βπ))
XβΌN(ΞΌ=np,Ο^2=np(1βp))
approximately. Here ΞΌ=ππ=1000β
0.1=100
ΞΌ=np=1000β
0.1=100
and Ο2=ππ(1βπ)=100β
0.9=90
Ο^2=np(1βp)=100β
0.9=90
. Applying also the continuity correction we have that
For A)
π(π<80)=π(πβ€79)βπ(πβΞΌΟβ€79+1/2β10090βΎβΎβΎβ)=π(πβ€β2.16)==Ξ¦(β2.16)=1βΞ¦(2.16)=0.015
P(X<80) =P(Xβ€79)βP(XβΞΌΟβ€79+1/2β10090)
=P(Zβ€β2.16)=
Ξ¦(β2.16)=1βΞ¦(2.16)=0.015
using the normal distribution tables.
On average 1 in 10 of the chocolates produced in a factory are mis-shapes.In a random sample of 1000 chocolates,find the probability that i) fewer than 80 are mis-shapes.
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