one.sample.z {asbio} | R Documentation |

## One sample z-test

### Description

Provides a one-sample hypothesis test. The test assumes that the underlying population is normal and furthermore that `\sigma`

is known.

### Usage

```
one.sample.z(data = NULL, null.mu = 0, xbar = NULL, sigma, n = NULL,
alternative = "two.sided", conf = 0.95, na.rm = FALSE, fpc = FALSE, N = NULL)
```

### Arguments

`data` |
A vector of quantitative data. Not required if |

`null.mu` |
The expectation for the null distribution. |

`xbar` |
Sample mean. Not required if |

`sigma` |
The null distribution standard deviation |

`n` |
The sample size. Not required if |

`alternative` |
Type of test. One of three must be specified |

`conf` |
Confidence level. |

`na.rm` |
Logical, indicate whether |

`fpc` |
A logical statement specifying whether a finite population correction should be made. If |

`N` |
The population size. Required if |

### Details

The function can use either raw data `is.null(data)==FALSE`

or summarized data if `is.null(data)==TRUE`

. With the later `xbar`

and `n`

must be specified by the user.

### Value

Returns a test statistic and a *p*-value.

### Author(s)

Ken Aho. Thanks to Anderson Canteli for identifying a bug in the function for asbio versions < 1.9-6.

### See Also

### Examples

```
one.sample.z(null.mu = 131, xbar = 126, sigma = 12, n = 85, alternative = "two.sided")
```

*asbio*version 1.9-7 Index]