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A population is normally distributed with a mean of $63,015 and a standard deviation of $11,467. Determine the value such that 99% of all other values are smaller than this one.

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To determine the value such that 99% of all other values are smaller, we can use the concept of the standard normal distribution and the z-score.

Given a normally distributed population with a mean
\sf \mu = 63,015 \\ and a standard deviation
\sf \sigma = 11,467 \\, we want to find the value
\sf x \\ such that 99% of the values are smaller than
\sf x \\.

To do this, we need to find the z-score corresponding to the desired percentile (in this case, 99%). We can use a standard normal distribution table or a calculator to find the z-score.

Using a standard normal distribution table, we find that the z-score corresponding to the 99th percentile is approximately 2.326.

The z-score formula is given by:


\sf z = (x - \mu)/(\sigma) \\

Rearranging the formula to solve for
\sf x \\:


\sf x = z \cdot \sigma + \mu \\

Substituting the known values:


\sf x = 2.326 \cdot 11,467 + 63,015 \\

Calculating:


\sf x \approx 26,693.46 + 63,015 \\


\sf x \approx 89,708.46 \\

Therefore, the value such that 99% of all other values are smaller is approximately $89,708.46.

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User Jannej
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