Hi Everyone, I am trying to get the 95% confidence interval for a disease severity progression data set in SAS 9.4. The data have been log transformed and are not normal (certain weeks have a lot of 0 values).  Sometimes the confidence limit output contains "." rather than numbers. In the year 2 output it seems that this only happens when the disease severy mean in 0 (see year 2 below), but in the year 1 data it happens for weeks when the disease severity mean is 0.3010 or 0 (see year 1 below).  My question is: what does the "." mean? Why is a "." returned even when the mean is not 0? Thank you Sherri 🙂   This is the coding for year 2: Title2 "Confidence Interval"; proc means data= first maxdec=4 alpha=0.05 clm mean; class trt; var jul23 jul31 aug6 aug13 aug20 aug27 sep3 sep10 sep17; run;   and this is part of the output:    Coding for year 1 Title2 "Confidence Interval"; proc means data= first maxdec=4 alpha=0.05 clm mean; class trt; var aug21 aug30 sep14 sep24 oct11; run;   Output for year 1: ... View more

Let me start off by saying that I am relatively inexperienced with SAS. Previously I have worked with small data sets and have relied on the Shapiro-Wilk test of normality. Now I am working with a data set with over 2000 data points, and am not sure how to interpret the other goodness of fit statistics generated by PROC UNIVARIATE.   I am looking at how spore concentration is related to the time of day; the spore concentration data has been transformed with log10. This is the output I am getting: How do I interpret these tests of normality? What do the D, W-sq, and A-Sq statistics indicate? Are there certain values of each statistic that indicate normality (as with the Shapiro-Wilk test)? Any suggestions are welcome! It would be great if answers are not too technical.   ... View more