Core Chapter 12: Statistics Flashcards

1
Q

State the 3 ways of measuring the centre of data

A

1) Mode:
- Discrete data: most frequently occurring value
- Grouped data: class with the highest frequency

2) Mean: arithmetic average
x̄ = Sum of all data values/No. of data values

3) Median: middle value of ordered data set
- Odd number of data values: (n+1/2) th value
- Even number of data values: average of the 2 middle values

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2
Q

Choose the appropriate measurement of centre

A

Mode:
- Only takes into account most usual value
- Only takes common values into account
- Not affected by extreme values

Mean:
- Takes into account of all values
- Affected by extreme values

Median:
- Gives the halfway point of data
- Only takes middle values into account
- Not affected by extreme values

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3
Q

Explain how frequency tables can be used to derive mode and mean

A

Frequency tables:
- Value column (x)
- Frequency column (f) –> mode/modal class
- Product column (xf)
Mean = Σxf/Σf

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4
Q

Explain how frequency tables are modified to represent grouped data

A

Extra column with calculated midpoint/mid-interval value (used as x column)

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5
Q

State the 4 ways of measuring the spread of data

A

1) Range: Difference between the maximum and minimum data value
Range = Max. value - Min. value

2) Interquartile Range: range of the middle half of the data
IQR = Q3-Q1

3) Variance (σ2)

4) Standard deviation (σ)

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6
Q

Explain how box-and-whisker diagrams can be interpreted

A
  • Minimum value: lower whisker
  • Q1: left edge of box
  • Q2: line in box
  • Q3: right edge of box
  • Maximum value: upper whisker
  • Asterisks: outliers
  • Symmetric distribution: whiskers of equal lengths and line in middle of box
  • Negatively skewed: lower whisker longer than upper whisker and line closer to right side of box
  • Positively skewed: upper whisker longer than lower whisker and line closer to left side of box
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7
Q

Determine outliers

A

Calculate lower and upper boundaries:

Upper boundary: Q3 + 1.5xIQR
Lower boundary: Q1 - 1.5xIQR

Any data values larger or smaller than the boundaries are outliers

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8
Q

Use cumulative frequency graphs to find percentiles

A

Q1: 25%
Q2: 50%
Q3: 75%

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