Measures Of Dispersion Flashcards

1
Q

What is the range of a set of data

A

Range = Highest value - Lowest value

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2
Q

How do you calculate Q1 (the lower quartile)

A

Q1 = n/4th term

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3
Q

How do you calculate Q3 (the upper quartile)?

A

Q3 = 3n/4th term

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4
Q

For a continuous grouped data, what must you do to find Q1, Q2 or Q3?

A

Interpolate.

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5
Q

For interpolation what is on the top and bottom of the line?

A

Top = class boundaries (which must be extended if there is a gap)

Bottom = cumulative frequency

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6
Q

How can the interquartile range be calculated?

A

IQR = Q3 - Q1

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7
Q

How can the xth percentile, Px be calculated?

A

Px = xn/100th term where n is the number of terms

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8
Q

State the equation for the inter-percentile range for n% to m%?

A

IPR = Pm - Pn

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9
Q

What is variance? (Way to remember the equation)

A

“Mean of the squares minus the square of the mean”

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10
Q

What is standard deviation? (Equation)

A

Standard deviation = (Variance)^1/2

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11
Q

For a frequency table or grouped frequency distribution, how do the values for n and x change in the variance equation?

A

n = sum of the frequencies

x = sum of (fx)

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12
Q

How does coding affect the standard deviation?

A

Adding or subtracting = no affect

Multiplying or diving = does affect

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13
Q

How can the mean of a combined set of A and B be calculated?

A

Mean = (n1x1 + n2x2) / (n1+n2)

Where x is the mean and n is the number of values

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14
Q

Under what circumstance would it not matter what measure of location is used to describe data?

A

If data is symmetrically distributed, or has zero skew, it doesn’t matter whether the mean or median is quoted.

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15
Q

What condition would the median be best to represent distributed data?

A

If the data is skewed.

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16
Q

When and why should the median and IQR be used to summarise continuous data?

A
  • when data is skewed

- since the median and IQR are not affected by extreme values or outliers