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| univariate analysis ： ウィキペディア英語版 |
univariate analysis
Univariate analysis is perhaps the simplest form of statistical analysis. Like other forms of statistics, it can be inferential or descriptive. The key fact is that only one variable is involved.
== Descriptive methods ==
Descriptive statistics describe a sample or population. They can be part of exploratory data analysis.
The appropriate statistic depends on the level of measurement. For nominal variables, a frequency table and a listing of the mode(s) is sufficient. For ordinal variables the median can be calculated as a measure of central tendency and the range (and variations of it) as a measure of dispersion. For interval level variables, the arithmetic mean (average) and standard deviation are added to the toolbox and, for ratio level variables, we add the geometric mean and harmonic mean as measures of central tendency and the coefficient of variation as a measure of dispersion.
For interval and ratio level data, further descriptors include the variable's skewness and kurtosis.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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