Description Usage Arguments Details Value Author(s)

This is an important secondary function. It checks whether the corresponding null hypothesis can be rejected by a calculated test statistic. Three cases of hypotheses can be considered: test for superiority, test for non-inferiority, test for difference. The test statistic is compared with the corresponding quantiles of the t-distribution.

1 | ```
test_h0(test = 1, T, n1, n2, alpha = 0.05, delta = 0)
``` |

`test` |
Number. What type of hypothesis test should be performed, one-sided (Superiority/ Non-Inferiority |

`T` |
Number. Value of the calculated test statistic. |

`n1` |
Number. sample size of the first sample. |

`n2` |
Number. sample size of the second sample. |

`alpha` |
Number. Desired alpha-level of the test. |

`delta` |
Number. Expectation difference of two samples. |

The aim of this function is to simplify the application of test decisions in hypothesis tests.

The value 0 or 1 will be returned.

0 means the null hypothesis can not be rejected to the level alpha.

1 means the null hypothesis is rejected to the level alpha.

Csilla van Lunteren

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