The average precipitation for the first 7 months of the year is 19.32 inches with a standard deviation of 2.4 inches. Assume that the average precipitation is normally distributed.
a. What is the probability that a randomly selected year will have precipitation greater than 18 inches for the first 7 months?
b. What is the average precipitation of 5 randomly selected years for the first 7 months?
c. What is the probability of 5 randomly selected years will have an average precipitation greater than 18 inches for the first 7 months?
We are given "\\mu" = 19.32 and "\\sigma" = 2.4
a.
P(X>18) = P(X-"\\mu" > 18-19.32) = P("\\frac{X-\\mu}{\\sigma}" > "\\frac{18 - 19.32}{2.4}")
We compute the z score using the formula:
z = "\\frac{X-\\mu}{\\sigma}"
= "\\frac{18-19.32}{2.4}"
= -0.55
P(X>18) = P(Z> -0.55)
where
P(Z> -0.55) = 1- P(Z<-0.55)
From the normal distribution table
P(Z<-0.55) = 0.2912
Therefore;
P(Z> -0.55) = 1- 0.2912
= 0.7088
Answer: 0.7088
b.
Answer:
We assume that the average precipitation of 5 randomly selected years for the first 7 months is the population mean "\\mu" = 19.32
c.
Since "\\mu" = 19.32 and "\\sigma" = 2.4
We are given that the sample size n = 5
Now, we will use the formula:
z = "\\frac{X-\\mu}{\\sigma\/\\sqrt{n}}"
P(X>18) = P(X-"\\mu" > 18-19.32) = P("\\frac{X-\\mu}{\\sigma\/\\sqrt{n}}" > "\\frac{18 - 19.32}{2.4\/\\sqrt{5}}")
We compute the z score using the formula:
z = "\\frac{X-\\mu}{\\sigma\/\\sqrt{n}}"
= "\\frac{18-19.32}{2.4\/\\sqrt{5}}"
= -1.23
P(X>18) = P(Z> -1.23)
where
P(Z> -1.23) = 1- P(Z<-1.23)
From the normal distribution table
P(Z<-1.23) = 0.10935
Therefore;
P(Z> -1.23) = 1- 0.10935
= 0.89065
Answer: 0.8907
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