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Statistical Reference Guide
An analysis of variance (ANOVA) table shows the sources of variation.
An ANOVA table uses various abbreviations:
Sum of squares, the sum of the squared deviations from the expected value.
Degrees of freedom, the number of values that are free to vary.
Mean square, the sum of squares divided by the degrees of freedom.
F-statistic, the ratio of two mean squares that forms the basis of a hypothesis test.
p-value, the probability of obtaining an F statistic at least as extreme as that observed when the null hypothesis is true.
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Statistical Reference Guide
Correlation and association
Principal component analysis (PCA)
Factor analysis (FA)
Simple regression models
Fitting a simple linear regression
Fitting a multiple linear regression
Performing 2-way or higher factorial ANOVA
Fitting an advanced linear model
Summary of fit
Effect of model hypothesis test
Predicted against actual Y plot
Lack of Fit
Effect of terms hypothesis test
Effect leverage plot
Plotting main effects and interactions
Multiple comparison procedures
Comparing effect means
Residuals - normality
Residuals - independence
Outlier and influence plot
Identifying outliers and other influential points
Measurement systems analysis (MSA)
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Statistical Reference guide
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