The normal distribution is the probability distribution that plots all of its values along a symmetrical bell curve, with the highest probabilities centered around the mean value and tapering out ...

Flickr via Google Images Standard deviation is a concept that's thrown around frequently in finance. So what is it? When working with a quantitative data set, one of the first things we want to know ...

The extent to which products meet specifications needs to be systematically monitored in a production process. Product quality will typically be defined by two quantities: deviations from stated ...

The usual process inspection scheme for controlling the standard deviation (S. D.) of a normal distribution is to plot a Shewhart chart on which are recorded the ranges of small samples; a common size ...

This column is the fourth in a series on parameter estimation, leading up to the justly famous Kalman filter. The discipline is based on the fact that our knowledge of the state of any real-world ...

Learn what residual standard deviation is, how to calculate it in regression analysis, and why it's crucial for measuring predictability and goodness-of-fit in data modeling.

The problem considered is that of estimating the mean and standard deviation of a normally distributed population from a truncated sample when neither count nor measurements of variates in the omitted ...