Calculating standard scores
A standard score measures how far an observation is from its mean in standard-deviation units. The sign shows whether the observation is below or above the mean
- Find the signed deviation Subtract the mean from the observed value, keeping the order observed value minus mean \(\displaystyle x-\bar{x}\)
- Divide by the standard deviation Use the standard deviation as the denominator to measure the deviation in standard-deviation units \(\displaystyle z=\frac{x-\bar{x}}{s}\)
- Keep the sign A negative standard score is below the mean and a positive standard score is above the mean \(\displaystyle x<\bar{x}\Rightarrow z<0,\quad x>\bar{x}\Rightarrow z>0\)
- Reverse the formula when needed When the standard score is known, multiply it by the standard deviation and add the signed change to the mean \(\displaystyle x=\bar{x}+zs\)
Worked example
The times for a measured running route have mean 42 minutes and standard deviation 6 minutes. One time is 30 minutes. Calculate and interpret its standard score
- \(\displaystyle x-\bar{x}=30-42=-12\)The running time is 12 minutes below the mean, so the deviation is negative
- \(\displaystyle z=\frac{x-\bar{x}}{s}=\frac{-12}{6}=-2\)Divide the signed deviation by 6 minutes to obtain a standard score of −2.
- \(\displaystyle z=-2\quad\Rightarrow\quad x\text{ is 2 standard deviations below the mean}\)The negative sign places the time below the mean and the magnitude gives the distance
Common mistakes
Difficulty levels
Questions about this topic
What does a standard score measure?+
It measures the signed distance from an observation to its mean in standard-deviation units
What does a negative standard score mean?+
The observation is below its distribution mean. A positive standard score means it is above the mean
How is an actual value found from a standard score?+
Keep the sign of the standard score when multiplying
Can I use a calculator?+
A calculator is allowed unless a question is marked no calculator
Which year level and chapter is this?+
Year 12, VCE Units 3 & 4, General Mathematics, chapter 1: Data distributions