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

Description Usage Arguments Details Value Examples

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.

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

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

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

d = z / sqrt(N)

Learn more on our example page.

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

#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)