Presentation of Data Flashcards

1
Q

Why do you screen data?

A

To detect blunders
To locate outliers
Distributional properties
Missing values

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2
Q

What are the 2 types of measurement?

A

Qualitative - nominal or ordinal
Quantitative - interval

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3
Q

Describe groups of qualitative data:

A

Nominal - non ordered e.g male or female
Ordinal - ordered e.g pain levels

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4
Q

What is frequency distribution?

A

Shows the frequency (or count) of the occurrence of different values of a variable

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5
Q

What is relative frequency?

A

The frequency expressed as a proportion (or percentage) of the total frequency

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6
Q

How are interval scale variables graphically presented?

A

Histogram -
Box plots

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7
Q

Define;
mean
median
mode

A

Mean -
Median - middle value if a sample is arranged in increasing order
Mode -

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8
Q

What are summary statistics used for?

A

Attempt to capture a typical value (the location) or the spread (or dispersion).

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9
Q

What is range and why is not used to detect dispersion?

A

The range is the difference between the largest and smallest observations in the sample;
Not recommended as it is severely affected by outlying observations.

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9
Q

What is variance?

A

The variance (s2) is the sum of the squared distance of each value from the mean, divided by the number of values minus 1
Basically how far a result is from the mean

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10
Q

What is standard deviation and why does it have presence over variation?

A

Square root of the variance.
Advantage of being in the original scale of measurement, and is therefore used in preference to the variance

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11
Q

What is the coefficient of variation?

A

Provides a measure of variation which is independent of the unit of measurement
Used to compare the variation of variables measured on different scales

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12
Q

What summary statistics are used for roughly symmetrical distribution?

A

The mean and standard deviation

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13
Q

What summary statistics are used for skewed distribution?

A

Median and interquartile range

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