Questions: Question 17 of 17 - / 2 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 6.5 in tall (between 51.5 inches and 66.5 inches)? Round your answer to three decimal places. Proportion = (b) A parent says his 10-year-old son is in the 99th percentile in height. How tall is this boy? Round your answer to two decimal places. Height = i inches

Question 17 of 17
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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 6.5 in tall (between 51.5 inches and 66.5 inches)?

Round your answer to three decimal places.
Proportion = 
(b) A parent says his 10-year-old son is in the 99th percentile in height. How tall is this boy?

Round your answer to two decimal places.
Height = i inches
Transcript text: Question 17 of 17 $-/ 2$ 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 6.5 in tall (between 51.5 inches and 66.5 inches)? Round your answer to three decimal places. Proportion = $\square$ (b) A parent says his 10 -year-old son is in the $99^{\text {th }}$ percentile in height. How tall is this boy? Round your answer to two decimal places. Height $=$ i inches
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Solution

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Solution Steps

Step 1: Calculate the Proportion of Boys' Heights

To find the proportion of 10-year-old boys whose heights are between 51.5 inches and 66.5 inches, we use the cumulative distribution function (CDF) of the normal distribution:

\[ P = \Phi(Z_{end}) - \Phi(Z_{start}) \]

Where:

  • \( Z_{end} \) corresponds to 66.5 inches
  • \( Z_{start} \) corresponds to 51.5 inches

After calculating the Z-scores, we find:

\[ P = \Phi(4.074) - \Phi(-1.481) = 0.931 \]

Thus, the proportion of boys between 51.5 inches and 66.5 inches is:

\[ \text{Proportion} = 0.931 \]

Step 2: Calculate the Z-Score for the 99th Percentile

To determine the height of a boy in the 99th percentile, we first calculate the Z-score corresponding to this percentile:

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

Where:

  • \( X \) is the height we want to find
  • \( \mu = 55.5 \) inches (mean)
  • \( \sigma = 2.7 \) inches (standard deviation)

Using the Z-score for the 99th percentile, we find:

\[ z = \frac{0.99 - 55.5}{2.7} = -20.19 \]

Step 3: Calculate the Height Corresponding to the 99th Percentile

Now, we can find the height corresponding to the 99th percentile using the Z-score:

\[ X = \mu + z \cdot \sigma \]

Substituting the values:

\[ X = 55.5 + (-20.19) \cdot 2.7 = 0.99 \text{ inches} \]

Final Answer

The answers to the questions are as follows:

  • Proportion of boys between 51.5 inches and 66.5 inches: \\(\boxed{0.931}\\)
  • Height of a boy in the 99th percentile: \\(\boxed{0.99 \text{ inches}}\\)
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