Lecture Examples

  • This one-page document gives some helpful tips about the first day of class. It gives short advice on creating a first impression, establishing rapport, clarifying expectations, collecting information and building excitement.
    0
    No votes yet
  • This presentation on data analysis addresses observational studies and randomized controlled trials in two different sections. Types of studies are defined and examples of each study is given to emphasize the differences. Factors and variables are also discussed.

    0
    No votes yet
  • This site describes in detail 5 different types of random sampling, giving examples, definitions, and procedures.
    0
    No votes yet
  • This site discusses survey questionnaires and interviews, provides links to detailed descriptions and pros and cons of each, and describes how to conduct them.
    0
    No votes yet
  • This site lists definitions of key terms related to experimental design and ANOVA, including factorial, blocking, interaction, and others. This site is part of the "Statistics Glossary" for the STEPS project (STatistical Education through Problem Solving).
    0
    No votes yet
  • This site explains the 2x2 factorial experimental design, it's components, and it's effects. Graphs illustrate the concepts discussed.
    0
    No votes yet
  • This chapter of the HyperStat Online Textbook presents six sections on probability including conditional probability, unions, intersections, and the Binomial distribution. A link to exercises for the chapter is available, as well as a link to an applet that demonstrates the approximation of the binomial with a normal distribution (in section 5).
    0
    No votes yet
  • A slideshow presentation with two good examples on using the Z-test for the difference between two means. Gives some good "plain language" interepretations of what "statistically significant difference" means.
    0
    No votes yet
  • Textbook-like example showing the independent t-test. Gives a nice way for students to think through the problem and interpret results.
    0
    No votes yet
  • Gives a basic explanation with diagrams of the one and two-tailed t-tests.
    0
    No votes yet

Pages

register