Update README.md

README.md

@@ -50,7 +50,7 @@ To install (or test) the statistics-bootstrap package at it's existing location
 * `bootci` calculates confidence intervals using bootstrap resampling
 * `ibootci` calculates confidence intervals (calibrated) by iterated bootstrap resampling 
 * `ibootp` calculates a two-tailed *p*-value for hypothesized value of the statistic using bootstrap
-* `bootnhst` calculates *p*-values by bootstrap null-hypothesis significance testing (two-tailed). This function can be used to compare 2 or more (independent) samples but it does not calculate confidence intervals.
+* `bootnhst` calculates *p*-values by bootstrap null-hypothesis significance testing (two-tailed). This function can be used to compare 2 or more (independent) samples.
 * `bootanovan` calculates *p*-values for N-way, fixed effects ANOVA by bootstrapping the distribution of F-statistics under the null hypothesis. This function depends on the `anovan` function from the Statistics package in Octave, or the Statistics and Machine Learning toolbox in Matlab.
 * `iboottest` is a convenience function that uses `ibootci` and `ibootp` to compute confidence intervals and *p*-values for the difference between two paired samples or between one sample and a population value (two-tailed)
 * `iboottest2` is a convenience function that uses `ibootci` and `ibootp` to compute confidence intervals and *p*-values for the difference between two independent (i.e. unpaired) samples.