a statistical procedure used to determine whether there is a significant difference between the observed mean of a
sample and the known or hypothetical mean of the larger
population from which the sample has been randomly drawn. In the single-sample
t test, one calculates a
t value using (a) the mean of the sample (observed average); (b) the mean of the population (known or theoretically expected average); (c) the
standard deviation of the sample; and (d) the total number of sample observations taken. The
t value obtained is then compared to a standard table of values, arranged by sample size, to determine whether it exceeds the threshold of
statistical significance. Also called
one-sample t test.