Our SPC software, SPC for Excel, performs ANOVA for one to five factors. ANOVA allows you to determine if there are significant differences between treatments.The software contains crossed, nested or mixed designs – as well as fixed or random factors. The runs can be randomized.
The output includes the ANOVA table for the factor and for the model. Also included is the variability chart – a chart that shows each run at each level of the factors. This chart is easily revised to switch factor levels or can be colored-coded by factor. A complete list of ANOVA features is given below.
Watch a Video Highlighting SPC for Excel's Analysis of Variance (ANOVA) Methodology
ANOVA Features
One to five factors
Crossed, nested or mixed designs
Fixed and/or random factors
Multiple responses
Randomization of runs
Option to visualize design
1 to 25 Replications
ANOVA table for factors
ANOVA table for models
Statistics
Average
Standard deviation
Coefficient of variation
R square
Adjusted R square
95% confidence intervals for treatment means (fixed factors)
Comparison of treatment means and variances (fixed factors)
Treatment means
Tukey's method
Bonferroni's method
Fisher's LSD method
Option to plot pairwise comparisons
Treatment variances
Bartlett's Test
Levene's Method
Variability Plots
Plots each treatment versus factor levels
Option to plot treatment averages and overall averages
Option to re-order factors on plot
Option to color-code by a factor's levels
Components of Variance Plots
% of total by factor
Estimates of variance and standard deviation by factor
Xbar and R/s charts
Xbar: Plots treatment means
R: plots treatment ranges
s: plots treatment standard deviations
Expected Mean Squares
F Calculation Information
Source, error degrees of freedom, error mean square, error mean square calculation
Rollup Control Charts
Rollup control charts (primarily for nested designs)
Residuals analysis
Residuals
Leverage
Standardized residuals
Internally studentized residuals
Externally studentized residuals
DFFITS
Cook's distance
Potential outliers in red
Residuals charts (raw, standardized, internally or externally studentized residuals)
Normal plot
Versus predicted values
Versus actual run number
Other charts
Predicted vs actual
DFFITS, Cook's distance and leverage versus actual run number
p values < 0.05 in red