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Find the area of the shaded region. The graph to the right depicts IQ scores of adults, and those scores are normally distributed with a mean of 100 and a standard deviation of 15.

Find the area of the shaded region. The graph to the right depicts IQ scores of adults-example-1

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The area of the shaded region between IQ scores of 106 and 128, in a normal distribution with a mean of 100 and a standard deviation of 15, is approximately 31.39%.

The area of the shaded region between IQ scores of 106 and 128, in a normal distribution with a mean of 100 and a standard deviation of 15, is approximately 31.39%.

To find the area of the shaded region between IQ scores of 106 and 128 in a normal distribution with a mean of 100 and a standard deviation of 15, you can use the z-score formula:


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

where:

- X is the IQ score,

-
\( \mu \) is the mean,

-
\( \sigma \) is the standard deviation.

For the lower limit (106):


\[ Z_{\text{lower}} = ((106 - 100))/(15) = (6)/(15) = 0.4 \]

For the upper limit (128):


\[ Z_{\text{upper}} = ((128 - 100))/(15) = (28)/(15) = 1.87 \]

Now, you can use a standard normal distribution table or a calculator to find the area between these two z-scores.

The area between
\( Z_{\text{lower}} \) and
\( Z_{\text{upper}} \) represents the probability that a randomly selected IQ score falls between 106 and 128.

For Z = 0.4, the probability is approximately 0.6554.

For Z = 1.87, the probability is approximately 0.9693.

Now, to find the area between these two z-scores, subtract the lower probability from the upper probability:


\[ \text{Area} = 0.9693 - 0.6554 \]\[ \text{Area} \approx 0.3139 \]

So, the area of the shaded region between IQ scores of 106 and 128 is approximately 0.3139, or 31.39%.