This is evaluated using equation 8.15 for the pooled variance estimate.3 t-ratio
As in the separate variance estimate t is the ratio of the difference inmeans to the standard error of the difference,
t=−3.034The associated degrees of freedom for a pooled variance estimate is simply n 1 + n 2
−2=df=18.
InterpretationAssuming a two-tailed test because no specific difference was specified by the researcher
and a 5 per cent significance level, interpretation is the same as in the previous example
except that the degrees of freedom are a whole number and can therefore be looked up in
a table of the t-distribution. The p-value for a t of −3.034 is found by comparing the
observed t-ratio (t=−3.034) to a critical t-value with 18 df in Table 3 (Appendix A4). For
18 df and 5 per cent two-tailed the critical t is 2.101. Since the observed value exceeds
the critical value we can conclude that there is evidence of a significant age difference in
correct score for subtraction tasks (t=−3.034, df=18, p<0.05).
In these two worked examples the separate and pooled variance estimates of the t-
ratios are similar because the sample variances are not very different. The negative t-ratio
is attributable to the larger mean being subtracted from the smaller mean (in both
examples the mean for 7-year-olds was subtracted from the mean for 6-year-olds). The
response variable would be checked for normality in the usual way with a normal
probability plot.
Confidence Interval (CI) for Difference in MeansIt is useful to present an estimate of the plausible range of population mean differences as
well as the result of a hypothesis test. The 95 per cent CI for the difference in means is
given by,
Confidence
interval
difference
between
meansInferences involving continuous data 301