Bivariate Association - Continuous Variables

Overview

In this session, student will learn statistical tests that applied to single group when the data is normally distributed, single group when the data is not normally distributed.

Summary

  • Critical value: The value that a test statistic must exceed (in absolute value sense) for the null hypothesis to be rejected.
  • One sample t-test: Is a test to compare mean of a sample to a known value.
  • Paired t-test: Is a test to compare the difference (change) in the mean of two paired (matched) groups.
  • Sign test: Is a nonparametric (distribution free) test to compare median of a sample to a known value.
  • Wilcoxon signed rank test: A non-parametric test for two DEPENDENT samples with ordinal data or with numerical observations that are NOT NORMALLY distributed.
  • Two-sample t test: Is a test to compare means of two small samples.
  • Wilcoxon rank sum test: A nonparametric test for comparing two independent samples with ordinal data or with numerical observations that are not normally distributes.