Spread Out Statistic Document For Free

Standard deviation is the square root of the variance. Standard deviation is a measure of how spread out the data is from its mean.

If the data are very close to each other, then there is low variability. If the data are very spread out, then there is high variability. How do you measure variability? It would be good to have a number that measures it.

If a histogram is bell shaped, it can be parsimoniously described by its center and spread. The center is the location of its axis of symmetry. The spread is the distance between the center and one of its inflection points.

Spread. The main measure of spread that you should know for describing distributions on the AP® Statistics exam is the range. The range is simply the distance from the lowest score in your distribution to the highest score. To calculate the range, you just subtract the lower number from the higher one.

The symbol ?2 represents the population variance; the population standard deviation ? is the square root of the population variance. The symbol s2 represents the sample variance; the sample standard deviation s is the square root of the sample variance.

Summary Statistics: Measures of Spread The measure of spread is also referred to as Dispersion, Variability, or Frequency Distribution. This measure helps us understand how the responses are spread out. The three aspects of spread are range, SD (Standard Deviation), and Variance.

The simplest measure of spread in data is the range. It is the difference between the maximum value and the minimum value within the data set. In the above data containing the scores of two students, range for Arun = 100-20 = 80; range for John = 80-45 = 35.