Assume that the octane level of mid-grade gasoline has a normal
distribution with a mean of 89.15 and a standard deviation of 0.16.
We take many samples of this gasoline and measure their octane
levels.
Problem 1: What proportion of the samples will have octane levels
higher than 89.50?
Solution: Let XX denote the octane level, which is normal with
μ=89.15μ=89.15 and σ=0.16σ=0.16. We need to find the probability
that XX is greater than 89.5089.50.
P(X>89.50)=P(X−μσ>89.50−89.150.16)=P(Z>2.19)P(X>89.50)=P(X−μσ>89.50−89.150.16)=P(Z>2.19)
Many normal probability tables give "cumulative probabilities."
Therefore, we must take the complement.
P(Z>2.19)=1−P(Z≤2.19)=1−0.9857=P(Z>2.19)=1−P(Z≤2.19)=1−0.9857= (Round
to 4 decimal places.)
Problem 2: Above what value of octane level will you find 69.5% of
the samples?
Solution: First, we need to find a zz-score such that 30.5% of the
area under the normal curve is found below that value. In other
words, we are looking at a zz-score that gives cumulative
probability 0.3050. According to the table, this number is
z=−0.51z=−0.51.
Next, we need to convert this zz-score into xx. Recall
z=x−μσz=x−μσ. Solving this equation for xx gives x=μ+zσx=μ+zσ.
Therefore, the final answer is
x=89.15+(−0.51)(0.16)=x=89.15+(−0.51)(0.16)= (Round to 2
decimal places.)
1. Let X denote the octane level, Then X follows Normal (89.15,
0.16). We need to find P(X > 89.5).Then,
, Where Z follows Normal(0 , 1)
2. First, we need to find a z-score such that 30.5% of the area
under the normal curve is found below that value. In other words,
we are looking at a z-score that gives cumulative probability
0.3050. According to the table,
Next, we need to convert this z-score into x. Recall that
.
Solving this equation for x we get x= -0.51*0.16 + 89.15 = 89.07
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