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Nov 21, 2023 · Spread of data (also known as variation, fluctuation, dispersion, etc.) is the measure of how far the data ranges from the center of data ( mean or the median )....
Recognize, describe, and calculate the measures of the spread of data: variance, standard deviation, and range. An important characteristic of any set of data is the variation in the data. In some data sets, the data values are concentrated closely near the mean; in other data sets, the data values are more widely spread out from the mean.
Mar 12, 2023 · The four most common measures of the “spread” of data are called the range, variance, standard deviation, and coefficient of variation. A sample of house prices (in $1,000): 325, 375, 385, 395, 420, and 825, found the mean house price of $454,167.
Jan 8, 2024 · Variability refers to how “spread out” a group of scores is. To see what we mean by spread out, consider graphs in Figure \ (\PageIndex {1}\). These graphs represent the scores on two quizzes. The mean score for each quiz is 7.0. Despite the equality of means, you can see that the distributions are quite different.
Introduction to Measures of Spread. What you’ll learn to do: Use a five-number summary and a boxplot to describe a distribution. In this section, we define ways to measure the spread of the data. If our measure of center is the median, we will use a visual interpretation with boxplots.
Measures of Spread or Variability: These values describe how spread out a data set is. There are different ways to calculate a measure of spread. One is called the range and another is called the standard deviation.
The standard deviation is always positive or zero. The standard deviation is small when all the data are concentrated close to the mean, exhibiting little variation or spread. The standard deviation is larger when the data values are more spread out from the mean, exhibiting more variation.
