![]() Use when the histogram fits a bell curve.If we have to take the log of values or subtract a number or perform some other operation on the data, then do it. If we can transform data to behave like a normal distribution, then we do it! Much easier to work with data in this shape.When data is grouped around the mean, there is an equal probability of being above or below the mean (50% above & 50% below the average). ![]() Do NOT assume that symmetric data is normally distributed.Many other distributions can be symmetric under the right conditions, including Binomial & Chi Square.If there is a normal curve, then there is no undue influence in the process.An average of a group of numbers indicates the central tendency. The peak of the normal curve indicates the average, which is the center of process variation.Family of distributions described by m and s.This is often the most used distribution in Six Sigma.Commonly used in inferential statistics.They will never be perfect unless you have an infinite data set.Symmetrical distribution about the mean (a bell-shaped curve).Normal Distribution is the most widely known symmetric distribution for continuous data.Statisticians refer to the normal curve as the Gaussian Probability Distribution, named after Gauss.Įntertainingly, when students ask for a professor to grade on a curve, they probably don’t know that would mean 50% of the students would receive below a 50 or less than a D! Basic Assumptions: The Normal distribution is used to analyze data when there is an equally likely chance of being above or below the mean for continuous data whose histogram fits a bell curve.
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