Problem 5 ( 10 points). The height of fifth-grade students in elementary school are normally distributed with mean ( \( \mu \) ) equal to 48 inches and a standard deviation equal to 2.8 inches. How tall in inches would a fifth-grade student need to be to have a height at the 91 st percentile? \( 0.90 \rightarrow 2 \) scole table 0.90
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Bonus Knowledge
To find the height corresponding to the 91st percentile in a normally distributed dataset, we first need to determine the Z-score that corresponds to the 91st percentile. Looking up the value in the Z-table, we find that a Z-score of approximately 1.34 corresponds to the 91st percentile (as it is slightly above 0.90). Now, we can use the Z-score formula to find the height \( X \): \[ Z = \frac{X - \mu}{\sigma} \] Substituting the known values: \[ 1.34 = \frac{X - 48}{2.8} \] Rearranging gives: \[ X - 48 = 1.34 \times 2.8 \] Calculating \( 1.34 \times 2.8 = 3.752 \): \[ X - 48 = 3.752 \] Thus, adding 48 to both sides gives: \[ X = 48 + 3.752 = 51.752 \] So, a fifth-grade student would need to be approximately **51.75 inches tall** to be at the 91st percentile.