Learn about t-test assumption, including scale, sampling, normality, sample size, and variance equality, for accurate statistical analysis and reliable results.

This short course provides an overview of statistical analyses useful for comparing the means for one or more samples. The statistical training will include the discussion of the one sample t-test, ...

The t-test and analysis of variance (ANOVA) are two of the most common statistical techniques used in practice. These techniques allow researchers to statistically assess the plausibility that a ...