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Normal Distribution. Cherry trees in a certain orchard have heights that are normally distributed with mu = 112 inches and sigma = 14 inches. What is the probability that a randomly chosen tree is greater than 140 inches? For this problem we want just the answer. Please give up to 4 significant decimal places, and use the proper rules of rounding.

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Answer:

The probability that a randomly chosen tree is greater than 140 inches is 0.0228.

Explanation:

Given : Cherry trees in a certain orchard have heights that are normally distributed with
\mu = 112 inches and
\sigma = 14 inches.

To find : What is the probability that a randomly chosen tree is greater than 140 inches?

Solution :

Mean -
\mu = 112 inches

Standard deviation -
\sigma = 14 inches

The z-score formula is given by,
Z=(x-\mu)/(\sigma)

Now,


P(X>140)=P((x-\mu)/(\sigma)>(140-\mu)/(\sigma))


P(X>140)=P(Z>(140-112)/(14))


P(X>140)=P(Z>(28)/(14))


P(X>140)=P(Z>2)


P(X>140)=1-P(Z<2)

The Z-score value we get is from the Z-table,


P(X>140)=1-0.9772


P(X>140)=0.0228

Therefore, the probability that a randomly chosen tree is greater than 140 inches is 0.0228.

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