Measures of Central Tendency We consider a random variable x and a data set S = {x 1, x 2, …, x n} of size n which contains possible values of x. The data set can represent either the population being studied or a sample drawn from the population.
That's that first data set. Now the standard deviation of the second data set is just going to be the square root of its variance, which is just 2. So the second data set has 1/10 the standard deviation as this first data set. This is 10 roots of 2, this is …
Descriptive statistics allow you to characterize your data based on its properties. There are four major types of descriptive statistics: 1. Measures of Frequency:
Measures of Position Statisticians often talk about the position of a value, relative to other values in a set of data. The most common measures of position are percentiles, quartiles, and standard scores (aka, z-scores).