Statistical techniques appropriate for analyzing data when there is a single measurement of each element in the sample are called univariate techniques.

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Univariate techniques are specifically designed for analyzing a single variable, and do not consider relationships between multiple variables. Examples of univariate techniques include measures of central tendency (such as mean, median, and mode) and measures of variability (such as range, variance, and standard deviation).

Statistical Techniques Appropriate for Analyzing Data When There Is a Single