ci.mean.ps: Confidence interval for a paired-samples mean difference

In statpsych: Statistical Methods for Psychologists

Confidence interval for a paired-samples mean difference

Description

Computes a confidence interval for a population paired-samples mean difference using the estimated means, estimated standard deviations, estimated correlation, and sample size. Also computes a paired-samples t-test. Use the t.test function for raw data input.

Usage

ci.mean.ps(alpha, m1, m2, sd1, sd2, cor, n)

Arguments

alpha	alpha level for 1-alpha confidence
m1	estimated mean for measurement 1
m2	estimated mean for measurement 2
sd1	estimated standard deviation for measurement 1
sd2	estimated standard deviation for measurement 2
cor	estimated correlation between measurements
n	sample size

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated mean difference

• SE - standard error

• t - t test statistic

• df - degrees of freedom

• p - two-sided p-value

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

ci.mean.ps(.05, 58.2, 51.4, 7.43, 8.92, .537, 30)

# Should return:
# Estimate       SE        t df            p       LL       UL
#      6.8 1.455922 4.670578 29  6.33208e-05 3.822304 9.777696

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