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The weights of steers in a herd are distributed normally. The standard deviation is 300lbs and the mean steer weight is 900lbs. Find the probability that the weight of a randomly selected steer is less than 1140lbs. Round your answer to four decimal places.

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Answer:

0.7611 = 76.11% probability that the weight of a randomly selected steer is less than 1140lbs.

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)

The Z-score measures how many standard deviations the measure is from the mean. 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, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this problem, we have that:


\mu = 900, \sigma = 300

Find the probability that the weight of a randomly selected steer is less than 1140lbs.

This is the pvalue of Z when X = 1140. So


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


Z = (1140 - 900)/(300)


Z = 0.71


Z = 0.71 has a pvalue of 0.7611

0.7611 = 76.11% probability that the weight of a randomly selected steer is less than 1140lbs.

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