7/20/2023 0 Comments Another word for running testsCategorical or Nominal to define groups.Examples are analysis of variance ( ANOVA ), Tukey-Kramer pairwise comparison, Dunnett's comparison to a control, and analysis of means (ANOM). Depending on the outcome, you either reject or fail to reject your null hypothesis. Next, you calculate a test statistic from your data and compare it to a theoretical value from a t-distribution. For example, when comparing two populations, you might hypothesize that their means are the same, and you decide on an acceptable probability of concluding that a difference exists when that is not true. How are t-tests used?įirst, you define the hypothesis you are going to test and specify an acceptable risk of drawing a faulty conclusion. A t-test may be used to evaluate whether a single group differs from a known value (a one-sample t-test), whether two groups differ from each other (an independent two-sample t-test), or whether there is a significant difference in paired measurements (a paired, or dependent samples t-test). A t-test (also known as Student's t-test) is a tool for evaluating the means of one or two populations using hypothesis testing.
0 Comments
Leave a Reply. |