# d.z.z: d from z-statistic for Z-test In MOTE: Effect Size and Confidence Interval Calculator

## Description

This function displays d for Z-tests when all you have is the z-statistic. The normal confidence interval is also provided if you have sigma. If sigma is left blank, then you will not see a confidence interval.

## Usage

 `1` ```d.z.z(z, sig = NA, n, a = 0.05) ```

## Arguments

 `z` z statistic `sig` population standard deviation `n` sample size `a` significance level

## Details

To calculate d, z is divided by the square root of N.

d = z / sqrt(N)

## Value

The effect size (Cohen's d) with associated confidence intervals and relevant statistics.

 `d` effect size `dlow` lower level confidence interval d value `dhigh` upper level confidence interval d value `sigma` sample size `z` sig stats `p` p-value `n` sample size `estimate` the d statistic and confidence interval in APA style for markdown printing `statistic` the Z-statistic in APA style for markdown printing

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12``` ```#A recent study suggested that students (N = 100) learning #statistics improved their test scores with the use of #visual aids (Z = 2.5). The population standard deviation is 4. #You can type in the numbers directly as shown below, #or refer to your dataset within the function. d.z.z(z = 2.5, sig = 4, n = 100, a = .05) d.z.z(z = 2.5, n = 100, a = .05) d.z.z(2.5, 4, 100, .05) ```

MOTE documentation built on May 2, 2019, 5:51 a.m.