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- Variance and Standard Deviation
Variance and Standard Deviation
Variance and standard deviation measure how far, on average, data lies from the mean. They use every data value, making them the most informative measures of spread — and the formula has a handy shortcut.
What you'll be able to do
- Calculate variance using the formula
- Calculate standard deviation
- Use the Σx² shortcut formula
- Work with frequency tables
The formulas
Variance is the mean of the squared distances from the mean. The exam shortcut avoids computing each deviation: subtract the mean squared from the mean of the squares. Standard deviation is the square root of the variance.
Example 1Data: 2, 4, 6. Find the variance.
Tip — Remember it as “mean of the squares − square of the mean”. Mixing the order gives a negative (impossible) variance.
With frequencies
For a frequency table, weight by the frequencies: use and in place of and .
Standard deviation
The standard deviation has the same units as the data (unlike variance, which is squared units), so it is the more interpretable measure of spread. A larger means more spread-out data.
Formula recap
Common mistakes to avoid
Key takeaways
- Variance σ² = Σx²/n − x̄² (mean of squares − square of mean).
- Standard deviation σ = √variance, in the same units as the data.
- For frequency tables use Σfx²/Σf.
Test yourself
Answer a few questions, then review anything you missed.
Check your understanding
Work through questions on Variance and Standard Deviation. Use the feedback to decide what needs another look.
5 past-paper questions · 10 marks
Related lessons
All 5 lessons- Same chapterMeasures of Central TendencyUnderstanding mean, median, and mode as measures of central tendency.
- Same chapterOther Measures of LocationUnderstanding quartiles, percentiles, and other location measures.
- Same chapterMeasures of SpreadUnderstanding range, interquartile range, and other measures of spread.
Put the methods into practice: see how A-Level maths duels work. An account is required to play; the overview and sample are public.