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When fishing off the shores of Florida, a spotted seatrout must be between 10 and 30 inches long before it can be kept; otherwise, it must be returned to the waters. In a region of the Gulf of Mexico, the lengths of the spotted seatrout that are caught, are normally distributed with a mean of 22 inches, and a standard deviation of 4 inches. What is the probability that a fisherman catches a spotted seatrout within the legal limits?

User Manindar
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Answer:

There is a 97.585% probability that a fisherman catches a spotted seatrout within the legal limits.

Explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean
\mu and standard deviation
\sigma, the zscore of a measure X is given by


Z = (X - \mu)/(\sigma)

After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X. Subtracting 1 by the pvalue, we This p-value is the probability that the value of the measure is greater than X.

In this problem, we have that:

The lengths of the spotted seatrout that are caught, are normally distributed with a mean of 22 inches, and a standard deviation of 4 inches, so
\mu = 22, \sigma = 4.

What is the probability that a fisherman catches a spotted seatrout within the legal limits?

They must be between 10 and 30 inches.

So, this is the pvalue of the Z score of
X = 30 subtracted by the pvalue of the Z score of
X = 10

X = 30


Z = (X - \mu)/(\sigma)


Z = (30 - 22)/(4)


Z = 2


Z = 2 has a pvalue of 0.9772

X = 10


Z = (X - \mu)/(\sigma)


Z = (10 - 22)/(4)


Z = -3


Z = -3 has a pvalue of 0.00135.

This means that there is a 0.9772-0.00135 = 0.97585 = 97.585% probability that a fisherman catches a spotted seatrout within the legal limits.

User Ashok Kumar
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