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Algebra 2 Statistics and probability

Standard deviation and variance

20 practice questions 0 video lessons Theory + worked examples

Standard Deviation and Variance

Common Core Algebra 2 • Standard S-ID.2 • Statistics & Probability

Standard Deviation and Variance is the opening topic of Statistics & Probability in the Common Core State Standards. It is aligned to Standard S-ID.2, which requires students to use the mean and standard deviation of a data set to compare and interpret spread.

Variance is the mean of the squared deviations from the mean; the standard deviation is its square root and measures spread.

Common Core Algebra 2 › Statistics & Probability › Standard Deviation and Variance  —  Standard S-ID.2

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Theory

Standard deviation measures how spread out data are around the mean:
  1. Find the mean \(\bar x\).
  2. Find each deviation \(x-\bar x\) and square it.
  3. The variance is the mean of those squares.
  4. The standard deviation \(\sigma\) is its square root.
Small SD: data clustered near the mean; large SD: spread out.
Spread of data Standard deviation is small for tightly clustered data and large for spread out data. small spread large spread standard deviation measures spread
Standard deviation is small for tight data, large for spread data.
Standard deviation Standard deviation Standard deviation variance = mean of squared deviations Οƒ = √(variance) same units as the data
Variance and standard deviation.

Variance and standard deviation:

\[\sigma^2=\dfrac{\sum(x-\bar x)^2}{n},\qquad \sigma=\sqrt{\sigma^2}\]
variance is the mean of squared deviations; standard deviation is its square root
The standard deviation has the same units as the data.

How to find the standard deviation

  1. Compute the mean.
  2. Subtract the mean from each value and square.
  3. Average the squares (variance).
  4. Take the square root.
Example 1 β€” Find the mean
Find the mean of \(2,4,6,8,10\).
Solution

Add and divide by \(5\).

\(\bar x\)\(=\)\(\dfrac{2+4+6+8+10}{5}=6\)
the mean is 6
Example 2 β€” Variance and SD
Find the standard deviation of \(2,4,6,8,10\).
Solution

Square the deviations from \(6\), average, then root.

\(\text{deviations}\)\(:\)\(-4,-2,0,2,4\)
\(\text{variance}\)\(=\)\(\dfrac{16+4+0+4+16}{5}=8\)
\(\sigma\)\(=\)\(\sqrt8\approx2.83\)
the standard deviation is about 2.83
Example 3 β€” Compare spread
Which has a larger SD: \(5,5,5,5\) or \(1,5,5,9\)?
Solution

The first has no spread; the second varies.

\(1,5,5,9\)\(\Rightarrow\)\(\text{larger SD}\)
the second set has the larger standard deviation
Example 4 β€” Units
If data are in meters, what unit is the standard deviation?
Solution

Standard deviation shares the data's units.

\(\sigma\)\(\text{in}\)\(\text{meters}\)
the standard deviation is in meters

Common pitfalls

Square the deviations before averaging.
The SD is the root of the variance, not the variance itself.
SD keeps the data's units; variance uses squared units.

Frequently asked questions

What is standard deviation?

A measure of how spread out data are around the mean.

What is variance?

The mean of the squared deviations from the mean.

How are they related?

The standard deviation is the square root of the variance.

What does a large standard deviation mean?

The data are widely spread from the mean.