MOTE (version 1.0.2)

d.z.mean: d for Z-test from Population Mean and SD

Description

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

Usage

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

Arguments

mu

population mean

m1

sample study mean

sig

population standard deviation

sd1

standard deviation from the study

n

sample size

a

significance level

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

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

Details

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.

Examples

# NOT RUN {
#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)
# }