Central values for a set of data. They're averages - ways of calculating a typical value for a set of data.
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Outline and evaluate the mean as a measure of central tendency.
It's calculated by adding up all the scores and dividing by the number of scores. It makes use of all values but can be unrepresentative if there are extreme values. It's not appropriate for nominal data.
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Outling and evaluate the median as a measure of central tendency.
It's the middle value in an ordered list. It's not affected by extreme scores but isn't as 'sensitive' as the mean because not all values are reflected. It's not appropriate for nominal data.
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Outline and evaluate the mode as a measure of central tendency.
It's the value that's most common in a data set. It's the only method appropriate when the data are in categories. It's not useful when there are several modes.
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Define measures of dispersion.
The spread of data.
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Outline and evaluate the range as a measure of dispersion.
Calculated by finding the difference between the highest and lowest score in a data set. Easy to calculate but may be affected by extreme values.
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Outling and evaluate standard deviation as a measure of dispersion.
The spread of data around the mean, which is a more precise measure because all the values are taken into account, however some characteristcs of the data aren't expressed.
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Define graphs.
Seeing the results as a glance.
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In a bar chart what does the height of a bar represent?
The frequency.
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What kind of data is a bar chart suitable for?
Words and numbers.
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What kind of data is a scattergraph suitable for and how is this data represented?
It's suitable for correlational data, a dot or cross is shown for each pair of values.
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How would you interpret a scattergram?
If the dots form a pattern going from bottom to top, this indicates a positive correlation, whereas top to bottom suggests a negative correlation. If there's no patter there is 0 correlation.
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Other cards in this set
Card 2
Front
Outline and evaluate the mean as a measure of central tendency.
Back
It's calculated by adding up all the scores and dividing by the number of scores. It makes use of all values but can be unrepresentative if there are extreme values. It's not appropriate for nominal data.
Card 3
Front
Outling and evaluate the median as a measure of central tendency.
Back
Card 4
Front
Outline and evaluate the mode as a measure of central tendency.
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