Z scores are the number of standard deviations a score or a value (x) away from the mean and are a measure of the dispersion of data.
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Z Scores (Z Value) & Z Table
Posted by Ted Hessing
Z scores are the number of standard deviations a score or a value (x) away from the mean and are a measure of the dispersion of data.
A Chi-Square goodness of fit test tells how well a categorical (nominal or ordinal) sample distribution fit into a hypothetical distribution.
Learn how to analyze your Six Sigma projects using financial measures. This will give you insight into the wider effects of your efforts.
The normal probability plot is a graphical technique for normality testing. Used to assess data set follows normal distribution.
The chi square (χ2) distribution is the best method to test a population variance against a known or assumed value of the population variance