When you format the subcolumns for entry of +/- error values, the values you enter are interpreted as distances. It is easy to confuse the +/- and upper/lower choices for entry of preaveraged data. The difference between entering +/- errors and upper/lower limit errors Temperature in C or F is not a ratio variable, because a temperature of 0.0 doesn't mean no heat. Weight is a ratio variable, because a weight of 0.0 means no weight. This is only useful for ratio variables, where zero means none of that value. Since the SD and Mean are in the same units, the %CV is a unitless percentage. The %CV is the coefficient of variation as a percentage, so is defined as 100*SD/Mean. If you also enter n, Prism can account for scatter and sample size, and the curve fit will be the same as if you had entered raw data. If you enter the data as mean and SD or SEM, Prism will fit the means, and ignore the values you enter as SD or SEM.
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