d.z.z {MOTE}

d from z-statistic for Z-test

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

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)

Learn more on our example page.

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

#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)