binTest {binGroup} | R Documentation |

## Hypothesis tests for One Binomial Proportion

### Description

Calculates p-values for hypothesis tests of a single binomial proportion.

### Usage

```
binTest(n, y, p.hyp, alternative = "two.sided",
method = "Exact")
```

### Arguments

`n` |
single integer value, number of trials (number of individuals under observation) |

`y` |
single integer value, number of successes (number of individuals showing the trait of interest) |

`p.hyp` |
single numeric value between 0 and 1, specifying the hypothetical threshold proportion to test against |

`alternative` |
character string defining the alternative hypothesis, either 'two.sided', 'less' or 'greater' |

`method` |
character string defining the test method to be used:
can be one of |

### Value

A list containing:

`p.value` |
the p value of the test |

`estimate` |
the estimated proportion |

`p.hyp` |
as input |

`alternative` |
as input |

`method` |
as input |

### Author(s)

Frank Schaarschmidt

### References

*Santner, T.J. and Duffy, D.E. (1989)* The statistical analysis of discrete data. Springer Verlag New York Berlin Heidelberg. Chapter 2.1.

### See Also

`binom.test(stats)` for the exact test and corresponding confindence interval

### Examples

```
# 200 seeds are taken from a seed lot.
# 2 are found to be defective.
# H0: p >= 0.02 shall be rejected in favor of HA: p < 0.02.
# The exact test shall be used for decision:
binTest(n=200, y=2, p.hyp=0.02, alternative="less", method="Exact" )
```

*binGroup*version 2.2-1 Index]