d.z.mean: d for Z-test from Population Mean and SD
In MOTE: Effect Size and Confidence Interval Calculator

Description Usage Arguments Details Value Examples

This function displays d for Z-test with the population mean and standard deviation. The normal confidence interval is also provided.

1	d.z.mean(mu, m1, sig, sd1, n, a = 0.05)

`mu`	population mean
`m1`	sample study mean
`sig`	population standard deviation
`sd1`	standard deviation from the study
`n`	sample size
`a`	significance level

d is calculated by deducting the population mean from the sample study mean and dividing by the alpha level.

d = (m1 - mu) / sig

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
`M1`	mean of sample
`sd1`	standard deviation of sample
`se1`	standard error of sample
`M1low`	lower level confidence interval of the mean
`M1high`	upper level confidence interval of the mean
`Mu`	population mean
`Sigma`	standard deviation of population
`se2`	standard error of population
`z`	z-statistic
`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

#The average quiz test taking time for a 10 item test is 22.5
#minutes, with a standard deviation of 10 minutes. My class of
#25 students took 19 minutes on the test with a standard deviation of 5.

d.z.mean(mu = 22.5, m1 = 19, sig = 10, sd1 = 5, n = 25, a = .05)