Hypothesis test for a mean

Computes a one-sample t-test for a population mean using the estimated mean, estimated standard deviation, sample size, and null hypothesis value. Use the t.test function for raw data input. A confidence interval for a population mean is a recommended supplement to the t-test (see ci.mean).

For more details, see Section 1.11 of Bonett (2021, Volume 1)

Usage

test.mean(m, sd, n, h)

Arguments

m

estimated mean

sd

estimated standard deviation

n

sample size

h

null hypothesis value of mean

Value

Returns a 1-row matrix. The columns are:

• t - t test statistic

• df - degrees of freedom

• p - two-sided p-value

References

Snedecor GW, Cochran WG (1989). Statistical Methods, 8th edition. ISU University Pres, Ames, Iowa.

Bonett DG (2021). Statistical Methods for Psychologists https://dgbonett.sites.ucsc.edu/.

Examples

test.mean(7.9, 3.05, 100, 7)
#>       t df       p
#>  2.9508 99 0.00396

# Should return:
#        t df       p
#   2.9508 99 0.00396