Question #169466

1.      Current estimates suggest that 72% of the home-based computers in a country have access to on-line services. Suppose 16 people with home-based computers were randomly and independently sampled. Find the probability that fewer than 9 of those sampled currently have access to on-line services. Show your work. (3)

 

Answer =  

 

2.      Given that X is a normally distributed variable with a mean of 52.2 and a standard deviation of 2.3, find the probability that X is between 47 and 54. (1)

 

Answer=

 

 

3.      A machine fills jars with coffee beans. The weight of the beans that the machine puts in a jar follows a normal distribution with the mean 246 grams and the standard deviation 3.5 grams. The label on a jar says, “weight 240 grams.” Two filled jars are selected at random. Find the probability that at least one of them is under-filled (has less than 240 grams of beans in it). Show your work. (4)

Expert's answer

1) We have that

p = 0.72

n = 16

m = 9

Need to find P(X<9)=1–P(X≥9)P(X<9) = 1 – P(X\ge9)

P(X≥9)=P(X=9)+P(X=10)+P(X=11)+P(X=12)+P(X=13)+P(X=14)+P(X=15)+P(X=16)P(X\ge9)=P(X=9)+P(X=10)+P(X=11)+P(X=12)+P(X=13)+P(X=14)+P(X=15)+P(X=16)

This follows binomial distribution.

The binomial probability is calculated by the formula:


P(X=m)=C(n,m)⋅pm⋅(1−p)n−mP(X=m)=C(n,m)\cdot p^m \cdot (1-p)^{n-m}

P(X=9)=C(16,9)⋅0.729⋅(1−0.72)16−9=16!7!9!⋅0.729⋅0.287=0.08P(X=9)=C(16,9)\cdot 0.72^9 \cdot (1-0.72)^{16-9}=\frac{16!}{7!9!}\cdot0.72^9\cdot0.28^{7}=0.08

P(X=10)=C(16,10)⋅0.7210⋅0.286=0.144P(X=10)=C(16,10)\cdot 0.72^{10} \cdot 0.28^6=0.144

P(X=11)=C(16,11)⋅0.7211⋅0.285=0.203P(X=11)=C(16,11)\cdot 0.72^{11} \cdot 0.28^5=0.203

P(X=12)=C(16,12)⋅0.7212⋅0.284=0.217P(X=12)=C(16,12)\cdot 0.72^{12} \cdot 0.28^4=0.217

P(X=13)=C(16,13)⋅0.7213⋅0.283=0.172P(X=13)=C(16,13)\cdot 0.72^{13} \cdot 0.28^3=0.172

P(X=14)=C(16,14)⋅0.7214⋅0.282=0.095P(X=14)=C(16,14)\cdot 0.72^{14} \cdot 0.28^2=0.095

P(X=15)=C(16,15)⋅0.7215⋅0.281=0.032P(X=15)=C(16,15)\cdot 0.72^{15} \cdot 0.28^1=0.032

P(X=16)=C(16,16)⋅0.7216⋅0.280=0.005P(X=16)=C(16,16)\cdot 0.72^{16} \cdot 0.28^0=0.005

P(X<1)=1−0.08−0.144−0.203−0.217−0.172−0.095−0.032−0.005=0.052P(X<1) = 1-0.08-0.144-0.203-0.217-0.172-0.095-0.032-0.005=0.052


2) We have that

μ=52.2\mu = 52.2

σ=2.3\sigma=2.3

P(47<X<54)=P(47−μσ<Z<54−μσ)=P(47−52.22.3<Z<54−52.22.3)=P(47<X<54)=P(\frac{47-\mu}{\sigma}<Z<\frac{54-\mu}{\sigma})=P(\frac{47-52.2}{2.3}<Z<\frac{54-52.2}{2.3})=

=P(−2.26<Z<0.78)=P(Z<0.78)−P(Z<−2.26)==P(-2.26<Z<0.78)=P(Z<0.78)-P(Z<-2.26)=

=0.7823−0.119=0.6633=0.7823-0.119=0.6633


A machine fills jars with coffee beans. The weight of the beans that the machine puts in a jar follows a normal distribution with the mean 246 grams and the standard deviation 3.5 grams. The label on a jar says, “weight 240 grams.” Two filled jars are selected at random. Find the probability that at least one of them is under-filled (has less than 240 grams of beans in it). Show your work.

3) We have that

μ=246\mu = 246

σ=3.5\sigma=3.5

x=240x=240

n=2n = 2

m=1m=1

P(X<240)=P(Z<x−μσ)=P(Z<240−2463.5)=P(Z<−1.71)=0.0436P(X<240)=P(Z<\frac{x-\mu}{\sigma})=P(Z<\frac{240-246}{3.5})=P(Z<-1.71)=0.0436

Thus p = 0.0436

At least one of two jars is under-filled:

P(X≥1)=1−P(X=0)=1−C(2,0)⋅0.04360⋅0.95642=0.0853P(X\ge1)=1-P(X=0)=1-C(2,0)\cdot 0.0436^{0} \cdot 0.9564^2=0.0853


Answer:

1) 0.052

2) 0.6633

3) 0.0853


LATEST TUTORIALS
APPROVED BY CLIENTS