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t statistic:
The statistic produced by the paired t test and the two sample t test.
Test statistic:
A numeric summary value used to determine significance under the decision rule.
Two sample t test:
This test is used to compare the means between two separate samples of individuals. It assumes the data are normally distributed.
Twoway analysis of variance:
A generalisation of oneway analysis of variance which includes levels of a second factor.
This approach also allows for interactions between the factors to be modelled and tested.
Type I error:
False positive - wrongly concluding that there is a significant difference.
See also Multiple testing (multiplicity).
Type II error:
False negative - failing to find a significant difference when it exists.
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