ci.mu.oneside {asbio} R Documentation

## One sided confidence interval for mu.

### Description

In some situations we may wish to quantify confidence in the region above or below a mean estimate. For instance, a biologist working with an endangered species may be interested in saying: "I am 95 percent confident that the true mean number of offspring is above a particular threshold." In a one-sided situation, we essentially let our confidence be 1- 2α (instead of 1 - α). Thus, if our significance level for a two-tailed test is α, our one-tailed significance level will be 2α.

### Usage

```ci.mu.oneside(data, conf = 0.95, n = NULL, Var = NULL, xbar = NULL,
summarized = FALSE, N = NULL, fpc = FALSE, tail = "upper")
```

### Arguments

 `data` A vector of quantitative data. Required if `summarized=TRUE`. `conf` Level of confidence; 1 - P(type I error). `n` Sample size. Required if `summarized=TRUE`. `Var` Sample variance. Required if `summarized=TRUE`. `xbar` Sample mean. Required if `summarized=TRUE`. `summarized` Logical. Indicates whether summary statistics instead of raw data should be used. `N` Population size. Required if `summarized=TRUE`. `fpc` Logical. Indicating whether finite population corrections should be made. `tail` Indicates what side the one sided confidence limit should be calculated for. Choices are `"upper"` or `"lower"`.

### Value

Returns a list of `class = "ci"`. Default output is a matrix with the sample mean and either the upper or lower confidence limit.

Ken Aho

### References

Bain, L. J., and Engelhardt, M. (1992) Introduction to Probability and Mathematical Statistics. Duxbury press, Belmont, CA, USA.

`ci.mu.t`
```ci.mu.oneside(rnorm(100))