# Power Analysis

##### Posted on December 27, 2017 0 Comments

## Applications

In hypothesis testing situations,

- Determine the sample size required to detect an effect of a given size with a given degree of confidence
- Determine the probability of detecting an effect of a given size with a given level of confidence, under sample size constraints. (If the probability is unacceptably low, youâ€™d wise be wise to alter or abandon the experiment.)

## Null hypothesis significance experiment (NHST)

### Four quantities

- sample size
- significance level
- power
- effect size

## Implementation

## Plots

### Sample sizes for detecting significant effects in a one-way ANOVA

### Sample size curves for detecting correlations of various sizes

## Reference

Kabacoff RI. R in Action. manning; 2010.