MannWhitneyTest[{data_1, data_2}] tests whether the medians of data_1 and data_2 are equal. MannWhitneyTest[dspec, \[Mu]_0] tests the median difference against \[Mu]_0. ...

Hypothesis tests give quantitative answers to common questions, such as how good the fit is between data and a particular distribution, whether these distributions have the ...

VerifyTestAssumptions is an option to LocationTest and similar functions that controls which assumptions to verify through diagnostic tests.

A random variable unlike a normal variable doesn't have a specific value, but rather a range of values and a densitity that gives different probabilities of obtaining values ...

TTest[data] tests whether the mean of data is zero. TTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal. TTest[dspec, \[Mu]_0] tests the mean ...

Mathematica 8 adds major new areas, including probability and statistics, graphs and networks, computational finance, control systems, wavelet analysis, and group theory. ...

LogRankTest[{data_1, data_2, ...}] tests for equal hazard rates among the data_i using a log-rank type test. LogRankTest[{data_1, data_2, ...}, wspec] performs a weighted ...

PairedTTest[data] tests whether the mean of data is zero. PairedTTest[{data_1, data_2}] tests whether the mean of data_1\[Dash] data_2 is zero. PairedTTest[dspec, \[Mu]_0] ...

PairedZTest[data] tests whether the mean of the data is zero. PairedZTest[{data_1, data_2}] tests whether the means of data_1 and data_2 are equal. PairedZTest[dspec, ...

SignTest[data] tests whether the median of data is zero. SignTest[{data_1, data_2}] tests whether the median of data_1\[Dash] data_2 is zero. SignTest[dspec, \[Mu] 0] tests a ...