ci.stdmean: Confidence interval for a standardized mean

In statpsych: Statistical Methods for Psychologists

Confidence interval for a standardized mean

Description

Computes a confidence interval for a population standardized mean difference from a hypothesized value. If the hypothesized value is set to 0, the reciprocals of the confidence interval endpoints gives a confidence interval for the coefficient of variation (see ci.cv).

ci.stdmean1 is deprecated and will soon be removed from statpsych; please switch to ci.stdmean

Usage

ci.stdmean(alpha, m, sd, n, h)

ci.stdmean1(alpha, m, sd, n, h)

Arguments

alpha	alpha level for 1-alpha confidence
m	estimated mean
sd	estimated standard deviation
n	sample size
h	hypothesized value of mean

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated standardized mean difference

• adj Estimate - bias adjusted standardized mean difference estimate

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Bonett2008statpsych

Examples

ci.stdmean(.05, 24.5, 3.65, 40, 20)

# Should return:
# Estimate  adj Estimate        SE        LL       UL
# 1.232877      1.209015 0.2124335 0.8165146 1.649239
 

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.