Conversion Tables
Z-distributionZ-Distribution: Areas of the standard normal distibution The tables assumes the data set is normally distributed and the process is stable.
t-distributiont-Distribution: Critical values from the t-Distribution For the t-distribution, DF = n-1, represents the degrees of freedom. If you have 29 samples, then df = 28. The t-distribution is used instead of the z-distribution (standard normal distribution) when the: The t-distribution is a series of distributions, a unique distribution exist for each sample size. As the sample size increases it becomes taller and narrower and exhibits more characteristics of the normal curve.
F-distributionF-Distribution: Percentage points of the F-Distribution NIST table with the most common levels of significance and degrees of freedom.
Chi-Squared distributionChi-Square Table The chi-square distribution is most often used in many cases for the critical regions for hypothesis tests and in determining confidence intervals. 1) Chi-square test for independence in an "Row x Column" contingency table 2) Chi-square test to determine if the standard deviation of a population is equal to a specified value.
BE CAREFUL when using tables, there are many varieties out there and all can be correct but only when used and interpreted correctly. Some tables are for one-tailed test and others cover two-tailed test.
DPMO, Z-Score, Cpk, Yield Conversion Table(Assumes +/- 1.5 sigma shift)
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