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TTEST2UV

 

Syntax: @TTEST2UV(R1, R2)

R1 = a range
R2 = a range

@TTEST2UV returns the significance level (alpha) of the two-sided dual population T-test for the population samples contained in the ranges R1 and R2 without assuming that the population variances are the same. Alpha is the probability of error in rejecting the null hypothesis that mean[R1] = mean[R2], assuming var[R1] and var[R2] are unrelated.

Examples:

@TTEST2UV(A1..A4, B1..B4) = 0.71306706, where A1..A4 = .5, .98, .22, .1, and B1..B4 = .87, .6, .21, .49.

@TTEST2UV(H5..H9, K5..K9) = 0.0083561, where H5..H9 = 14, 35, 37, 0, 33, and K5..K9 = 67, 77, 94, 34, 99.


next up previous contents index
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NExS User's Guide, Version 1.4.5
Grey Trout Software
11 April 1999