Probability

  • This section on Common Statistical Tests uses an example on faculty publications to show users how to perform a one-sample t test. The discussion includes one-tailed and two-tailed tests.
    View Resource
    0
    No votes yet
  • This site explains small sample hypothesis testing for a normal population and hypothesis testing for a population proportion. Includes examples and exercises.
    View Resource
    0
    No votes yet
  • This site focuses on using the LRT to compare two competing models.
    View Resource
    0
    No votes yet
  • This site offers an involved definition of the likelihood ratio test with examples and formulas.
    View Resource
    0
    No votes yet

  • This chapter of the "Concepts and Applications of Inferential Statistics" online textbook describes in detail the Kruskal-Wallis test, it's formulas, variables, and procedures using an example involving wine-tasters.

    View Resource
    0
    No votes yet
  • Explains how to set up the Kruskal-Wallis test and gives the formula for the test statistic.
    View Resource
    0
    No votes yet
  • By changing the number of degrees of freedom in a t-distribution, students can see how the pdf changes. They also have the option of overlayng the standard normal curve so that they can see the convergence.
    View Resource
    0
    No votes yet
  • This applet allows the user to adjust a (1st shape) and b (2nd shape) parmaters of the Beta distribution with a slider or manual input. The applet allows the user to fix the x and or y axes. The user immediately sees how this affects the the shape of the graph as well as the variance and the expected value. This page was formerly located at http://www.stat.vt.edu/~sundar/java/applets/BetaDensityApplet.html
    View Resource
    0
    No votes yet
  • This tutorial on Simple Linear Regression includes its definition, assumptions, and characteristics as well as related statistics and hypothesis test procedures. One section instructs users to perform simple linear regression in the WINKS software, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
    View Resource
    0
    No votes yet
  • This tutorial on the One Sample t test includes its definition, assumptions, hypotheses, and results. An example using output from the WINKS software is given, but those without the software can still use the tutorial. An exercise is given at the end that can be done with any statistical software package.
    View Resource
    0
    No votes yet

Pages