Descriptive statistics Flashcards

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1
Q

Quantitative data

A

data that is measured and expressed numerically, such
as a value, amount or quantity. It is usually associated with units.

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2
Q

Qualitative data

A

describes the attributes and qualities of data rather than
defining it with measurements. This could include hair colour, name, job title

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3
Q

Quantitative data pros and cons

A

very useful for using directly with statistical tests
and usually involves a very structured form of data collection, for example,
measurements of temperature.

However does not give full information - brief

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4
Q

Qualitative data pros and cons

A

cannot be directly used in statistical tests,useful at providing depth of information

➢ Data types can be translated into other types to make them more useful.
➢ For example, a qualitative data type such as an interview transcript can be
translated into quantitative data by categorising responses and recording
frequency of words.

but is much more time consuming and therefore will generally
involve a smaller sample.

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5
Q

Nominal data

A

label or describe variables, but have no quantitative
value.
hair colour is nominal data as the categories can be named with
descriptors such as brown, blonde, ginger.
➢ This is a form of qualitative data

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6
Q

Ordinal data

A

quantify variables, but the difference between each
value is not known or quantifiable.

➢ For example, if participants had to rank on a scale of 1 to 10 how much they
enjoy school, it is easy to see that the data is quantitative and that 10 is better
than 1, however, there is no quantifiable scale between 1, 2, 3

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7
Q

Interval data

A

quantitative data in which the differences or scale between
the values is precise and measurable. For example, time, temperature or
distance.

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8
Q

Primary data

A

data collected directly and originally from the researchers
themselves with the purpose of using the data in the experiment itself

More time consuming

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9
Q

Secondary data

A

research data that was collected by a third party at a
previous time, possibly for use in another experiment, but that is still useful for
the research purpose

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