2 Flashcards

(25 cards)

1
Q

what is a measure of location?

A

-a single value which describes a position in a data set

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2
Q

what is a measure of central tendency?

A

-when the single value describes the centre of the data

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3
Q

mode definition

A

-the value or class that occurs most often

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4
Q

median definition

A

-the middle value when the data values are put in order

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5
Q

when is it best to use the mode?

A

when data is qualitative or quantitative with either a single mode or 2 modes (bimodal)

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6
Q

when is it not helpful to use the mode?

A

-if each value in a data set occurs only once

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7
Q

when is it best to use the median value?

A

-for quantitative data
-when there are extreme values (as they dont affect it)

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8
Q

when is it best to use the mean value in a data set? [And why]

A

-for quantitative data
-uses all pieces of data to gives true measure of data

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9
Q

when is it not good to use the mean

A

-when the data set contains extreme values as these affect the mean

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10
Q

interpercentile range definition

A

-the difference between the values for 2 given percentiles

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11
Q

range definition

A

-difference between largest and smallest values in data set

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12
Q

interquartile range definition

A

-difference between the upper quartile and the lower quartile

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13
Q

IQR benefit

A

-not affected by extreme values

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14
Q

IQR cons

A

-only considers spread of middle 50% of data

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15
Q

range pros

A

-takes into account all of data

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16
Q

range con

A

-can be affected by extreme values

17
Q

Rule for calculating Quartile values (for discrete data)

A

-add 1 to total frequency and then calculate
-if number is whole number then choose value between this data point and the one above (eg if 5 choose midpoint of 5th and 6th value)
-if num is not a whole number, round up and pick this data point (eg if 5.3 choose 6th value)

18
Q

How to determine whether to use standard deviation or IQR

A

-determine which one has less variation by calculating difference
-use one with less variation

19
Q

What does adding and subtracting numbers in coding do to the standard deviation?

20
Q

Does adding and subtracting numbers in coding affect the mean?

21
Q

Does mutiplying and dividing in coding affect the standard deviation?

22
Q

Does mutiplying and dividing in coding affect the mean?

23
Q

What happens to the variance is the data is mutiplied by 3?

A

-the variance is multiplied by 9

24
Q

Measures of central tendency (3)

A

-mean
-median
-mode

25
Measures of variation [4]
-variance -standard deviation -range -inter percentile range