Questions: A normal population has mean μ=39 and standard deviation σ=16. Find the values that separate the middle 85% of the population from the top and bottom 7.5% The values that separate the middle 85% of the population above from the top and bottom 7.5% are and . Enter the answers in ascending order and round to one decimal place.

A normal population has mean μ=39 and standard deviation σ=16. Find the values that separate the middle 85% of the population from the top and bottom 7.5%

The values that separate the middle 85% of the population above from the top and bottom 7.5% are and . Enter the answers in ascending order and round to one decimal place.
Transcript text: A normal population has mean $\mu=39$ and standard deviation $\sigma=16$. Find the values that separate the middle $85 \%$ of the population from the top and bottom $7.5 \%$ The values that separate the middle $85 \%$ of the population above from the top and bottom $7.5 \%$ are $\square$ and $\square$ . Enter the answers in ascending order and round to one decimal place.
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Solution

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Solution Steps

Step 1: Define the Problem

We are tasked with finding the values that separate the middle \( 85\% \) of a normally distributed population from the top and bottom \( 7.5\% \). Given the population parameters:

  • Mean \( \mu = 39 \)
  • Standard deviation \( \sigma = 16 \)
Step 2: Determine the Relevant Percentiles

To find the values that separate the middle \( 85\% \), we need to identify the z-scores corresponding to the cumulative probabilities:

  • Lower bound: \( 7.5\% \) (or \( 0.075 \))
  • Upper bound: \( 92.5\% \) (or \( 0.925 \))
Step 3: Calculate the Z-Scores

Using the standard normal distribution, we find the z-scores:

  • \( z_{lower} = \Phi^{-1}(0.075) \)
  • \( z_{upper} = \Phi^{-1}(0.925) \)
Step 4: Convert Z-Scores to Original Values

The original values corresponding to these z-scores can be calculated using the formula: \[ X = \mu + z \cdot \sigma \] Thus, we compute:

  • For the lower bound: \[ X_{lower} = 39 + z_{lower} \cdot 16 \]
  • For the upper bound: \[ X_{upper} = 39 + z_{upper} \cdot 16 \]
Step 5: Calculate the Values

After performing the calculations, we find:

  • \( X_{lower} = 16.0 \)
  • \( X_{upper} = 62.0 \)

Final Answer

The values that separate the middle \( 85\% \) of the population from the top and bottom \( 7.5\% \) are: \[ \boxed{16.0 \text{ and } 62.0} \]

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