In: Statistics and Probability
The fill amount of bottles of a soft drink is normally distributed, with a mean of
2.0
liters
and a standard deviation of
0.05
liter. Suppose you select a random sample of
25
bottles.
a. What is the probability that the sample mean will be between
1.99
and
2.0
liters?
b. What is the probability that the sample mean will be below
1.98
liters?
c. What is the probability that the sample mean will be greater than
2.01
liters?
d. The probability is
90%
that the sample mean amount of soft drink will be at least how much?
e. The probability is
90%
that the sample mean amount of soft drink will be between which two values (symmetrically distributed around themean)?
Given data
mean μ =2.0
standard deviation σ = 0.05
number of samples n = 25
a. What is the probability that the sample mean will be between 1.99 and 2.0
for x=1.99 ⇒ Z = (x-μ)/(σ/√n) = (1.99-2.0)/(0.05/√25) = -1
forx= 2 ⇒ Z = (x-μ)/(σ/√n) = (2-2)/(0.05/√25) = 0
P(1.99 < x̅ < 2) = P(-1 < z < 0) = P(Z<=0)-P(Z<=-1) = 0.5-0.15866 = 0.34134
P(1.99 < x̅ < 2.0) = 0.34134
b. What is the probability that the sample mean will be below x =1.98
z = (x-μ)/(σ/√n) = (1.98-2.0)/(0.05/√25) = -2
P ( X < 1.98 ) = P ( Z < -2 ) = 0.0228
P ( X < 1.98 ) = 0.0228
c.What is the probability that the sample mean will be greater than x = 2.01
z = (x-μ)/(σ/√n) = (2.01 - 2.0)/(0.05/√25) = 1
P ( X > 2.01) = 1 - P(z<1) = 1 - 0.8413 = 0.1587
P ( X > 2.01) = 0.1587
d.The probability is 90% that the sample mean amount of soft drink will be at least how mucc
P( z ≥ ? ) = 0.90
P( z ≥ ? ) = 1 - P( z ≤? ) = 1 - 0.90 = 0.1
z0.1 = -1.28
z = (x-μ)/(σ/√n) ⇒ -1.28 = (x-2)/(0.05/√25)
x-2 = -0.0128
x = 2-0.0128
x = 1.98
e. The probability is 90% that the sample mean amount of soft drink will be between
which two values (symmetrically distributed around themean)?
P ( a < Z < b ) = 0.90
Area above the mean = 0.5 + ( 0.90 / 2 ) = 0.95
i.e z0.95 = ±1.65
z = (x-μ)/(σ/√n) ⇒ -1.65 = (x-2)/(0.05/√25)
x-2 = -0.0165
x = 2 - 0.0165
x = 1.98
z = (x-μ)/(σ/√n) ⇒ 1.65 = (x-2)/(0.05/√25)
x-2 = 0.0165
x = 2 + 0.0165
x = 2.01
P ( 1.98 < X < 2.01 ) = 90%