In context|statistics|lang=en terms the difference between mean and sigma is that mean is (statistics) the average of a set of values, calculated by summing them together and dividing by the number of terms; the arithmetic mean while sigma is (statistics) the symbol σ , used to indicate one standard deviation from the mean, particularly in a normal distribution. That two-sigma interval is what pollsters mean when they state the “margin of sampling error,” such as 3 percent, in their findings. Sigma ([math]\sigma[/math]) is the symbol for the standard deviation in statistics; [math]2\sigma[/math] means two standard deviations away from the mean in a normal distribution. Standard Deviation (also known as Sigma or σ) determines the spread around this mean/central tendency. Uses and Meaning of the Sigma Symbol Throughout History. The population value p is the population proportion, which is approximated by p-hat, the sample proportion. Since we’re working with data, it is natural that we will work with statistics as you will learn in any reputable Six Sigma Green Belt training.There is one particular statistical term that is critical for Six Sigma and for understanding a process based on Six Sigma principles as briefly taught in free Six Sigma courses. It is used to analyze central location. First we should start with what a Sigma is. Sigma or standard deviation is a statistical measure of dispersion in data. Many classical statistical models have a scale parameter, typically the standard deviation of a zero-mean normal (or Gaussian) random variable which is denoted as σ. The less common formula is the one for standard deviation used in statistics. What is Sigma and Why is it Six Sigma? It’s the eighteenth letter in the Greek alphabet, but for the purposes of this d iscussion it is used in statistics as a representation of Standard Deviation (SD). The Six Sigma approach is a data-driven approach to problem-solving. The X-bar chart, on top, shows the mean or average of each subgroup. Since this is regarding statistics I assume you mean lower case sigma (σ) which, in statistics, is the symbol used for standard deviation, and σ2 is known as the variance. In Ancient Greece, the sigma … What does it look like? extracts the estimated parameter from a fitted model, i.e., sigma^ . Again the binomial p does not have a sample estimator. The first and most common formula related to the sigma symbol is the summation notation using the upper case sigma. I always thought that standard deviation of a sample was lower than the standard deviation of the population, so this doesn't make sense to me. A “1-Sigma” is one standard deviation from the norm (norm is also called mean or average). Central tendency is the tendency of data to be around this mean. sigma(.) It is a measure which uses the characteristic of past data to make judgements about how the process will perform in the future. 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