ci.stdmean1 | R Documentation |
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.
ci.stdmean1(alpha, m, sd, n, h)
alpha |
alpha level for 1-alpha confidence |
m |
estimated mean |
sd |
estimated standard deviation |
n |
sample size |
h |
hypothesized 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
Bonett2008statpsych
ci.stdmean1(.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
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