variation
A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
The statistical term that describes the amount of variation in data is "variance." Variance quantifies how much individual data points differ from the mean of the dataset, indicating the spread of the data. A higher variance signifies greater dispersion among the data points, while a lower variance indicates that the data points are closer to the mean. Another related measure is the standard deviation, which is the square root of the variance and provides a more interpretable scale of variability.
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
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Standard Deviation
A number that describes numerical data is a Statistic.
variation
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A descriptive statistic describes the characteristics of a known set of data; such as mean, median, mode, range, standard deviation and so forth.
The statistical term that describes the amount of variation in data is "variance." Variance quantifies how much individual data points differ from the mean of the dataset, indicating the spread of the data. A higher variance signifies greater dispersion among the data points, while a lower variance indicates that the data points are closer to the mean. Another related measure is the standard deviation, which is the square root of the variance and provides a more interpretable scale of variability.
measures of variation
The variable that describes data using words or numerals as labels is called a categorical variable.
Symbolic data differ from standard data in that they contain internal variation.
It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.It describes the "middle" of the data set.
it means the data is different; the data varies.
The machine level.