Displaying Data
Measures of Center
Measures of Spread
Outliers & Boxplots
Vocab & Notation
100

This graph shows every individual value, best for small datasets.

Dotplot

100

Sum of all values divided by n.

Mean

100

Maximum minus minimum.

Range

100

A value is a low outlier if it falls below this.

Q1 − 1.5 × IQR

100

A number that describes a population

Parameter

200

This graph uses stems and leaves to display data.

Stemplot

200

The middle value when data is ordered.

Median

200

Q3 minus Q1.

IQR

200

A value is a high outlier if it falls above this.

Q3 + 1.5 × IQR

200

A number that describes a sample.

Statistic

300

This graph uses bars over intervals to show distribution of quantitative data.

Histogram

300

This measure of center is NOT resistant to outliers.

Mean

300

This measures the typical distance each value is from the mean.

Standard deviation

300

These two measures ARE resistant to outliers.

Median and IQR

300

This symbol estimates the population proportion p.

p̂ (p-hat)

400

This table displays two categorical variables at once.

Two-way table

400

When a distribution is skewed, use this measure of center.

Median

400

Standard deviation squared.

Variance

400

These two measures are NOT resistant to outliers.

Mean and standard deviation

400

This symbol estimates σ, the population standard deviation

Sx

500

The four things you always describe about a distribution.

SOCS — Shape, Outliers, Center, Spread

500

These two symbols represent the population mean and sample mean.

μ and x̄

500

If distribution is skewed or has outliers, report these two measures instead of mean and SD.

Median and IQR

500

List the five-number summary in order.

Min, Q1, Median, Q3, Max

500

When comparing two distributions, you do all of SOCS and always end with this.

Context

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