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Tips and Tricks for Analyzing Non-Normal Data
www.qualitymag.comThis article will cover various methods for detecting non-normal data, and will review valuable tips and tricks for analyzing non-normal data when you have it. The 10 data points graphed here were sampled from a normal distribution, yet the histogram appears to be skewed. Helpful hint: Avoid histograms for small sample sizes.
214-29: Assessing Model Fit and Finding a Fit Model
support.sas.comOutliers will affect the fit. There are techniques for detecting them Πsome better than others- but there is no universal way of dealing with them. Plots, smoothing plots such as PROC LOESS and PROC PRINCOMP help detect outliers. If there is a sound reason why the data point should be disregarded then the outlier may be deleted form analysis.