d.z.z | R Documentation |
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.
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)
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