MET 04 - Central tendency and dispersion Flashcards

1
Q

What is the mean?

A

The arithmetic average calculated by adding up all the values in a set of data and dividing by the number of values

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2
Q

What is the median?

A

The central value in a set of data when values are arranged from lowest to highest

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3
Q

What is the mode?

A

The most frequently occurring value in a set of data

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4
Q

What are descriptive characteristics?

A

The use of graphs, tables and summary statistics to identify trends and analyse sets of data

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5
Q

What is standard deviation?

A
  • A sophisticated measure of dispersion in a set of scores
  • It tells us by how much, on average, each score deviates from the mean
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6
Q

What is are measures of central tendency?

A
  • The general term for any measure of the average value in a set of data
  • Examples of measures of central tendency include the mean, median and mode
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7
Q

What are the strengths of using the mean?

A

It is sensitive to all data as it includes all scores/values in the data set within the calculation meaning it is more representative of the data as a whole

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8
Q

What are the limitations of using the mean?

A
  • It is easily distorted by extreme values
  • If skewed by outliers it is a misleading indicator
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9
Q

What are the strengths of using the median?

A
  • It is immune to effect of outliers/extreme values and easy to calculate
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10
Q

What are the limitations of using the median?

A

It is less sensitive and does not use all data

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11
Q

What are the strengths of using the mode?

A

Only way to give a ‘typical’ category with qualitative data

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12
Q

What are the limitations of using the mode?

A
  • It may not show centre of quantitative data
  • It is a very crude measure
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13
Q

What are the strengths of using the range?

A
  • It is quick and easy to calculate
  • Allows researchers to draw conclusions about their research at a faster pace
  • It means that researchers can spend more time interpreting and drawing inferences from the data as opposed to calculating and analysing
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14
Q

What are the limitations of using the range?

A
  • The range is vulnerable to extreme scores
  • This gives a misleading impression of the real dispersion of scores
  • So, the range is not always a representative description of the spread of a set of data
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15
Q

What are the strengths of using standard deviation?

A

It is a much more precise measure of dispersion than the range as it includes all values within the final calculation

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16
Q

What are the limitations of using standard deviation?

A
  • It can be distorted by a single extreme value
  • Extreme values may not be revealed, unlike with the range