In: Statistics and Probability
The average monthly cable bill in 2016 has been reported to be $92. Assume monthly cable bills follow a normal distribution with a standard deviation of $9.50.
a. What is the probability that a randomly selected bill will be
1. less than $90?
2. less than $100?
3. exactly $100?
4. between $85 and $95?
Which monthly cable bill represents the 55th percentile?
1)
Here, μ = 92, σ = 9.5 and x = 90. We need to compute P(X <= 90). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (90 - 92)/9.5 = -0.21
Therefore,
P(X <= 90) = P(z <= (90 - 92)/9.5)
= P(z <= -0.21)
= 0.4168
2)
Here, μ = 92, σ = 9.5 and x = 100. We need to compute P(X <= 100). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z = (100 - 92)/9.5 = 0.84
Therefore,
P(X <= 100) = P(z <= (100 - 92)/9.5)
= P(z <= 0.84)
= 0.7995
3)
Here, μ = 92, σ = 9.5, x1 = 99.5 and x2 = 100.5. We need to compute P(99.5<= X <= 100.5). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z1 = (99.5 - 92)/9.5 = 0.79
z2 = (100.5 - 92)/9.5 = 0.89
Therefore, we get
P(99.5 <= X <= 100.5) = P((100.5 - 92)/9.5) <= z <=
(100.5 - 92)/9.5)
= P(0.79 <= z <= 0.89) = P(z <= 0.89) - P(z <=
0.79)
= 0.8133 - 0.7852
= 0.0281
4)
Here, μ = 92, σ = 9.5, x1 = 85 and x2 = 95. We need to compute P(85<= X <= 95). The corresponding z-value is calculated using Central Limit Theorem
z = (x - μ)/σ
z1 = (85 - 92)/9.5 = -0.74
z2 = (95 - 92)/9.5 = 0.32
Therefore, we get
P(85 <= X <= 95) = P((95 - 92)/9.5) <= z <= (95 -
92)/9.5)
= P(-0.74 <= z <= 0.32) = P(z <= 0.32) - P(z <=
-0.74)
= 0.6255 - 0.2296
= 0.3959
5)
z value t 55% = 0.13
z = (x - mean)/s
0.13 = (x - 92)/9.5
x = 9.5 * 0.13 + 92
x = 93.24