(3) Representations of data

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6 Terms

1
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Formula to determine if a point is an outlier

> Q3 + k(Q3 - Q1)

< Q1 - k(Q3 - Q1)

(will be told k in qst)

2
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Cleaning the data

Removing anomalies

3
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Area of a bar (histogram)

k x frequency

If k = 1,

frequency density (y axis) = frequency / class width

4
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What does joining a line from the midpoints of equal class widths on histograms form

Frequency polygon

5
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When comparing data sets you can comment on

  • A measure of location

  • A measure of spread

6
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What can you use to compare data

  • Mean and standard deviation

  • Median and IQR

(DONT use median with standard deviation or mean with IQR)