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:
![\[ Z = ((X - \mu))/(\sigma) \]](https://img.qammunity.org/2024/formulas/mathematics/high-school/70pjin4adomdt68fd6mvg4hyy9s0ixp36o.png)
where:
- X is the IQ score,
-
is the mean,
-
is the standard deviation.
For the lower limit (106):
![\[ Z_{\text{lower}} = ((106 - 100))/(15) = (6)/(15) = 0.4 \]](https://img.qammunity.org/2024/formulas/mathematics/college/x10ks0t9we5mtl7bmedmvywakaexkhuvzw.png)
For the upper limit (128):
![\[ Z_{\text{upper}} = ((128 - 100))/(15) = (28)/(15) = 1.87 \]](https://img.qammunity.org/2024/formulas/mathematics/college/z65v9j7p99ll7f9w0rs3gnf3bpfo1w5voc.png)
Now, you can use a standard normal distribution table or a calculator to find the area between these two z-scores.
The area between
and
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:
![\[ \text{Area} = 0.9693 - 0.6554 \]\[ \text{Area} \approx 0.3139 \]](https://img.qammunity.org/2024/formulas/mathematics/college/7ajr3pmts2m0ewjskqs8jpijl5nzgp6c6s.png)
So, the area of the shaded region between IQ scores of 106 and 128 is approximately 0.3139, or 31.39%.