Measures of central tendency & dispersion Flashcards

1
Q

What are descriptive statistics?

A
  • use of summary statistics to identify trends & analyse sets of data
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2
Q

What are measures of central tendency?

A
  • the general term for any measure of the average value in a set of date
  • mode, median, mean
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3
Q

What is the mean and how is it calculated?

A
  • arithmetic average calculated by adding up all values then dividing by total number of values
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4
Q

What is a strength and limitation of using the mean?

A

strengths
- most sensitive of the measures as it includes all the values in data set within the calculation
limitation
- mean is easily distorted by extreme values which may not represent the data set overall

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5
Q

What is the median and how is it calculated?

A
  • the middle value in a data set when scores are arranged from lowest to highest
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6
Q

What are the strengths and limitations of using the median?

A

strengths
- not affected by extreme scores
- easy to calculate
limitation
- less sensitive (actual values of lower & higher numbers are ignored)

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7
Q

What is the mode?

A
  • the most frequent value in a data set
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8
Q

What are the strengths and limitations of using the mode?

A

strengths
- sometimes the only method of measure u can use (data in categories)
- easy to calculate
limitations
- not useful if there are many different modes
- not representative of the whole data set

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9
Q

What is meant by measure of dispersion?

A
  • the general term for any measure of the spread or variation in a set of scores
  • range, standard deviation
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10
Q

What is the range and how is it calculated?

A
  • calculation of the spread of scores and is worked out by subtracting the lowest value from the highest value and adding 1 (accounts for margin error)
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11
Q

What are the strengths and limitations of using the range?

A

strength
- easy to calculate
limitations
- only takes into account the most extreme values >unrepresentative of the data set as a whole
- range is influenced by outliers (distorted by extreme values)
- does not indicate whether most numbers are closely grouped around the mean or spread out

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12
Q

What is standard deviation?

A
  • more sophisticated measure of the spread of set of scores
  • tells us how far scores deviate from the mean
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13
Q

What are the strengths and limitations of using standard deviation?

A

strengths
- much more precise measure of dispersion as it includes all the values within final calculation
limitation
- can be distorted by a single extreme value > not representative

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14
Q

What does a low standard deviation suggests?

A
  • reflects the fact that the data is tightly clustered around the mean
  • may imply that all participants responded in a fairly similar way
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15
Q

What does a high standard deviation suggest?

A
  • the spread of scores is much greater
  • not all participants were affected by the IV in the same way
  • may be a few anomalous results
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