Questions: For a population with a standard deviation of σ=20, find the z-score for each of the following locations in the distribution. Below the mean by 10 points Below the mean by 30 points Above the mean by 5 points Above the mean by 2 points

For a population with a standard deviation of σ=20, find the z-score for each of the following locations in the distribution.
Below the mean by 10 points
Below the mean by 30 points
Above the mean by 5 points
Above the mean by 2 points
Transcript text: For a population with a standard deviation of $\sigma=20$, find the $z$-score for each of the following locations in the distribution. Below the mean by 10 points Below the mean by 30 points Above the mean by 5 points Above the mean by 2 points
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Solution

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Solution Steps

Step 1: Understanding the Problem

We are tasked with finding the \( z \)-scores for specific points relative to the mean of a normal distribution with a standard deviation of \(\sigma = 20\). The \( z \)-score is calculated using the formula:

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

where \( X \) is the value for which we are calculating the \( z \)-score, \(\mu\) is the mean of the distribution, and \(\sigma\) is the standard deviation.

Step 2: Calculate the \( z \)-score for 10 Points Below the Mean

For a point 10 points below the mean, we have:

  • \( X = -10 \)
  • \(\mu = 0\) (since we are considering deviations from the mean)
  • \(\sigma = 20\)

Substituting these values into the formula:

\[ z = \frac{{-10 - 0}}{20} = -0.5 \]

Step 3: Calculate the \( z \)-score for 30 Points Below the Mean

For a point 30 points below the mean, we have:

  • \( X = -30 \)
  • \(\mu = 0\)
  • \(\sigma = 20\)

Substituting these values into the formula:

\[ z = \frac{{-30 - 0}}{20} = -1.5 \]

Step 4: Calculate the \( z \)-score for 5 Points Above the Mean

For a point 5 points above the mean, we have:

  • \( X = 5 \)
  • \(\mu = 0\)
  • \(\sigma = 20\)

Substituting these values into the formula:

\[ z = \frac{{5 - 0}}{20} = 0.25 \]

Final Answer

  1. The \( z \)-score for 10 points below the mean is \(\boxed{-0.5}\).
  2. The \( z \)-score for 30 points below the mean is \(\boxed{-1.5}\).
  3. The \( z \)-score for 5 points above the mean is \(\boxed{0.25}\).
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