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Standard normal table
Standard normal table







Chi-square test to determine if the standard deviation of a population is equal to a specified value.ĭPMO, Z-Score, Cpk, Yield Conversion Table Short Term Sigma Conversion Table Note: Converting a Sigma score to Cpk is only an approximation because Cpk is based only upon the specification limit closest to the process mean (recall the calculation for Cpk has two values).Chi-square test for independence in an "Row x Column" contingency table.The Chi-square distribution is most often used in many cases for the critical regions for hypothesis tests and in determining confidence intervals. NIST table with the most common levels of significance and degrees of freedom. Generally applied with sample sizes <30.Ĭlick here to learn more about the t-distribution and t-tests with examples.į-Distribution: Percentage points of the F-Distribution As the sample size increases it becomes taller and narrower and exhibits more characteristics of the normal curve.

#STANDARD NORMAL TABLE SERIES#

The t-distribution is a series of distributions, a unique distribution exist for each sample size. Population standard deviation is unknown.The t-distribution is used instead of the z-distribution ( standard normal distribution) when the: T-Distribution: Critical values from the t-Distribution For the t-distribution, dF = n-1, represents the degrees of freedom. Share Facebook Twitter Pinterest t-distribution







Standard normal table