Data Flashcards

1
Q

Why screen data?

A

Detect blunders
Locate outliers
Discover distributional properties
Missing values

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2
Q

How to screen data?

A

Small data set: look at data
Large data set: frequency table or histogram

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3
Q

What are the two types of variable?

A

Qualitative
Quantitative

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4
Q

What are the two categories of qualitative variables?

A

Nominal: male/ female, smoker/non-smoker
Ordinal: pain (mild/ moderate/ sever)

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5
Q

What way is quantitative data handled?

A

In intervals
E.G height - 0-5, 5-10, 10-15

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6
Q

How to present categorical variables?

A

Tables of frequencies/ relative frequencies
Graphically is bar charts

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7
Q

If the data is symmetrical what points should be used?

A

Mean and standard deviation

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8
Q

If the data set is skewed, what data points should be used?

A

The median and inter-quartile range

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9
Q

How are interval scale variables graphically displayed?

A

Histograms and box plots

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10
Q

What are summary statistics?

A

They attempt to capture a typical value (the location) or the spread (dispersion)

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11
Q

What do you use when looking for location using summary statistics?

A

Mean and median

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12
Q

What do you use when looking for the spread/ dispersion of data when using summary statistics?

A

Range, inter-quartile range, variance

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13
Q

What is standard deviation?

A

The square root of variance

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14
Q

What is the definition of the co-efficient of variation?

A

C = (s/x) x 100
S - standard deviation
X - mean
A measure of variation which is independent of the unit of measurement. Can be used to compare the variation of variables measured on different scales

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