descriptive statistics Flashcards

1
Q

what are the two types of descriptive statistics?

A

measures of central tendency
measures of dispersion

^ analyse data 2 help describe, show or summarise it in a meaningful way

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2
Q

what are measures of central tendency?

A
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3
Q

name the 3 measures of central tendency

A
  • mode
  • mean
  • median
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4
Q

what is the mean?

and how do you calculate it?

A
  • This is the arithmetic average of all scores
  • It is calculated by adding up all the scores and dividing by the total number of scores
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5
Q

advantages and disadvantages of using the mean

A
  • adv - can consider all results
  • disadv - can be affected by anomalies
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6
Q

what is the median?

and how do you calculate it?

A

the mid point of a set of scores when they are placed in rank order

It is calculated by finding the middle score after placing all the scores in numerical order

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7
Q

advantages and disadvantages of using the median

A
  • adv - Not affected by anomalies.
  • disadv - doesn’t consider all the results in a set of data, may not accurately reflect it.
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8
Q

what is the mode?

and how do you calculate it?

A

the most frequently occurring score in a set of data

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9
Q

what are the advantages and disadvantages of using the mode?

A

adv - Considers all the results in a set of data, not effected by extreme scores
disadv - doesn’t consider all the results in a set of data, may not accurately reflect it

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10
Q

what is a measure of dispersion?

A

A measure of dispersion shows how far the scores are spread from the measure of central tendency

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11
Q

what is standard deviation?

A

shows how far the scores are spread from the measure of central tendency such as the mean

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12
Q

what is the range?

A

A measure of dispersion which shows the difference between the highest and the lowest scores in a data set

A high range value - scores are spread out
low range value - scores are close together

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13
Q

what is a weakness of using the range?

A
  • Affected by extreme scores so may not be an accurate descriptive statistic if there are outliers.
  • It doesn’t tell us if the scores are bunched around the mean score or equally distributed around the mean.
  • If the a data set has outlying scores it is often better to calculate the standard deviation.
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14
Q

what are the strengths of using standard deviation?

A

all exact values are taken into account, so a precise measure of dispersion

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