Types of variables and basic summary statistics

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Statistics

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16 Terms

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Numeric variables

Quantitative - measurable

can be either continuous or discrete

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Continuous variables

They can take any value within a range

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Discrete variables

They can take specific values within a range

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Categorical variables

Qualitative

can be either normal categorical, ordered categorical or binary

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Normal Categorical

Divided into different categories, not in a ordered way

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Ordered Categorical

Divided into different categories in an ordered way

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Binary

Divided into only 2 categories (e.x. Yes or No)

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Kinds of scales regarding Numeric variables

  1. Interval scale (no real 0)

  2. Ration Scale (real 0 exists)

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Kinds of scales regarding Categorical variables

  1. Nominal scale (divided into different categories, not in an ordered way)

    1. Ordinal scale (divided into different categories in an ordered way)

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Measures of central tendency

mean, median(middle point), mode(the most common value)

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Measures of dispersion

**dispersion means how much i expect my variable to vary/spread around the central location

variance, standard deviation, interquartile range

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Q1

25% is smaller than the value and the rest 75% is bigger

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Q2

50% is smaller than the value and the rest 50% is bigger

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Q3

75% is smaller than the value and the rest 25% is bigger

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IQR =

Q3-Q1

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Standard Deviation

The average distance from the mean

the BIGGER the ST, the BIGGER the spread