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The match-to-sample task has been shown to be an effective tool to understand the impact of sleep deprivation on short-term memory. One research study [9] compared performance on a traditional sequential test battery with that on a synthetic work task requiring subjects to work concurrently on several tasks, testing subjects every three hours during 64 hrs of sleep deprivation.
A paired difference test is designed for situations where there is dependence between pairs of measurements (in which case a test designed for comparing two independent samples would not be appropriate). That applies in a within-subjects study design, i.e., in a study where the same set of subjects undergo both of the conditions being compared.
Two other important uses for the relative rate test are to determine if and how generation time and metabolic processes affect mutational rate. Firstly is generation time. Sarich and Wilson first used the relative rate test to show that there was no evidence of a generation effect on lineage mutation rates for albumin within primates. [4]
If R 1 and R 2 are the rate of responses on two schedules that yield obtained (as distinct from programmed) rates of reinforcement Rf 1 and Rf 2, the strict matching law holds that the relative response rate R 1 / (R 1 + R 2) matches, that is, equals, the relative reinforcement rate Rf 1 / (Rf 1 + Rf 2).
The observer is not allowed to say "I do not know", or "I am not sure", or "I did not see anything". In that sense the observer's choice is forced between the two alternatives. Both options can be presented concurrently (as in the above example) or sequentially in two intervals (also known as two-interval forced choice, 2IFC). For example, to ...
In statistical hypothesis testing, a two-sample test is a test performed on the data of two random samples, each independently obtained from a different given population. The purpose of the test is to determine whether the difference between these two populations is statistically significant .
In contrast to the similar concept called Retention uniformity, R d is sensitive to R f values close to 0 or 1, or close to themselves. If two values are not separated, it is equal to 0. For example, the R f values (0,0.2,0.2,0.3) (two compounds not separated at 0.2 and one at the start ) result in R D equal to 0, but R U equal to 0.3609.
The two-sample location test compares the location parameters of two samples to each other. A common situation is where the two populations correspond to research subjects who have been treated with two different treatments (one of them possibly being a control or placebo).