This study guide will guide you as you work through the statistics online tutorial.

After completing the tutorial, you should be able to do the following: 

  • Name and define of each of the levels of measurement
  • Define or explain the distinction between descriptive and inferential statistics
  • Cite and define the three measures of central tendency • Understand how the three measures of central tendency are derived, what factors might influence them, and be able to calculate them
  • Explain the distinction between (define) 1) a sample distribution, 2) a sampling distribution, and 3) a population distribution, which are three distributions used in inferential statistics
  • Construct a frequency distribution table
  • Explain the difference between Type I and Type II errors
  • List the levels of measurement of the X and Y variables appropriate to the assumptions of χ2 (chi square) test of independence, Independent Samples t-Test, One-sample t-Test, and One-way ANOVA
  • Identify the symbols used for these variables: Independent, Dependent, slope, Y-intercept, and the sum of scores in a distribution • Identify the type of statistical measure or procedure used to determine the magnitude of an association
  • Identify and explain the terms in the bivariate regression equation
  • Know the range and interpretation of “r” (correlation) and what a correlation is used for