MuPAD® notebooks will be removed in a future release. Use MATLAB® live scripts instead.
To convert a MuPAD notebook file to a MATLAB live script file, see
convertMuPADNotebook. MATLAB live scripts support most MuPAD functionality, although there are some differences. For more information, see
Convert MuPAD Notebooks to MATLAB Live Scripts.
For the classical chi-square goodness-of-fit test, MuPAD provides
For the Kolmogorov-Smirnov goodness-of-fit test, MuPAD provides
The Shapiro-Wilk goodness-of-fit test asserts the hypothesis that the data has a normal distribution.
The t-Test compares the actual mean value of a data sample with
the specified value
Hypothesis (goodness-of-fit) testing is a common method that uses statistical evidence from a sample to draw a conclusion about a population.