Questions: Boys Heights Heights of ten year old boys (5th graders) follow an approximate normal distribution with mean μ=55.5 inches and standard deviation σ=2.7 inches. (a) According to this normal distribution, what proportion of 10 -year-old boys are between 4 ft 3.5 in and 5 ft 3.5 in tall (between 51.5 inches and 63.5 inches)? Round your answer to three decimal places. Proportion =

Boys Heights Heights of ten year old boys (5th graders) follow an approximate normal distribution with mean μ=55.5 inches and standard deviation σ=2.7 inches. (a) According to this normal distribution, what proportion of 10 -year-old boys are between 4 ft 3.5 in and 5 ft 3.5 in tall (between 51.5 inches and 63.5 inches)?

Round your answer to three decimal places. Proportion =
Transcript text: Boys Heights Heights of ten year old boys (5th graders) follow an approximate normal distribution with mean $\mu=55.5$ inches and standard deviation $\sigma=2.7$ inches. (a) According to this normal distribution, what proportion of 10 -year-old boys are between 4 ft 3.5 in and 5 ft 3.5 in tall (between 51.5 inches and 63.5 inches)? Round your answer to three decimal places. Proportion $=$ $\square$
failed

Solution

failed
failed

Solution Steps

To find the proportion of 10-year-old boys whose heights are between 51.5 inches and 63.5 inches, we can use the properties of the normal distribution. We will calculate the z-scores for both height limits and then use the cumulative distribution function (CDF) of the standard normal distribution to find the probabilities corresponding to these z-scores. The proportion of boys within this height range is the difference between these two probabilities.

Step 1: Calculate the Z-scores

To find the proportion of boys with heights between 51.5 inches and 63.5 inches, we first calculate the z-scores for these height limits using the formula:

\[ z = \frac{x - \mu}{\sigma} \]

For the lower bound (51.5 inches):

\[ z_{\text{lower}} = \frac{51.5 - 55.5}{2.7} \approx -1.4815 \]

For the upper bound (63.5 inches):

\[ z_{\text{upper}} = \frac{63.5 - 55.5}{2.7} \approx 2.963 \]

Step 2: Find the Cumulative Probabilities

Next, we find the cumulative probabilities for these z-scores using the standard normal distribution:

\[ P(Z < z_{\text{lower}}) \approx 0.06924 \]

\[ P(Z < z_{\text{upper}}) \approx 0.9985 \]

Step 3: Calculate the Proportion

The proportion of boys with heights between 51.5 inches and 63.5 inches is the difference between these cumulative probabilities:

\[ \text{Proportion} = P(Z < z_{\text{upper}}) - P(Z < z_{\text{lower}}) \approx 0.9985 - 0.06924 = 0.9292 \]

Final Answer

The proportion of 10-year-old boys with heights between 51.5 inches and 63.5 inches is approximately:

\[ \boxed{0.929} \]

Was this solution helpful?
failed
Unhelpful
failed
Helpful