L2 - Descriptive Statistics Flashcards

1
Q

What is categorical (qualitative) data?

A

Typically non-numerical data that can be sorted into defined categories e.g. Gender or Nationality

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2
Q

What are the two types of numerical (quantitative) data? Define.

A

Discrete - Counted items e.g. number of children

Continuous - Measured characteristics, can be infinitely precise e.g. weight

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3
Q

What are the four ‘levels of measurement’?

A

Nominal Data, Ordinal Data, Interval Data, Ratio Data

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4
Q

What is nominal data?

A

Categorical, unrankable data e.g. marital status (you can be married or unmarried, but you can’t be ‘more married’)

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5
Q

What is ordinal data?

A

Categorical data that can be ranked - e.g. grades

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6
Q

What is interval and ratio data? What is the difference?

A

Where data is quantitative and inferences can be made based on differences e.g. you can find the average.
Difference is that with ratio data there is a true zero e.g. Kelvin is ratio data because 0K means no heat, Celcius is not.

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7
Q

What are the three measures of central tendency?

A

Mean, Median and Average

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8
Q

What are the three measures of variance?

A

Range, Variance and Standard Deviation

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9
Q

What are the disadvantages of the mean?

A

Affected by extreme values (outliers)

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10
Q

How do you find the median if the data set is even?

A

Find the average of the two middle numbers e.g. the median of 1,2,3,4 would be 2.5

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11
Q

What are the disadvantages of range?

A

It ignores the way data are distributed, with outliers have a massive impact.

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12
Q

What is variance? How do you calculate it?

A

A measure of the deviation of each value from the mean.

Calculated by squaring the difference for each value, squaring it, then finding the average for all the results

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13
Q

What is standard deviation? Why does it involve finding the square root?

A

The square root of the Variance i.e. the average difference of each value, squared, from the mean.
Because it allows Std Dev. to be expressed in the same units.

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14
Q

What are the advantages of standard deviation and variance?

A

Each value in the data set is used

Values farther from the mean are given additional weight because they are squared.

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15
Q

What is the coefficient of variation?

A

Variation expressed as a percentage by dividing the standard deviation by the mean?

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