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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.

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For interval and ratio level data, further descriptors include the variable's skewness and kurtosis.

Inferential methods

Inferential methods allow us to infer from a sample to a population. For a nominal variable a one-way chi-square (goodness of fit) test can help determine if our sample matches that of some population. For interval and ratio level data, a one-sample t-test can let us infer whether the mean in our sample matches some proposed number (typically 0). Other available tests of location include the one-sample sign test and Wilcoxon signed rank test.

See also

• Coding (social sciences)
• Multivariate analysis
• Univariate

References

1. ^ Everitt, Brian (1998). The Cambridge Dictionary of Statistics. Cambridge, UK New York: Cambridge University Press. ISBN 0521593468.
2. http://www.vassarstats.net/csfit.html

• Exploratory data analysis