Multivariate Quantitative Relationships

  • This part of the NIST Engineering Statistics Handbook contains case studies for Exploratory Data Analysis. Some of the topics include normal and uniform random numbers, reliability using airplane glass failure times, and analysis of primary factors using ceramic strength.
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  • This site gives a definition and an example of scatterplots. Topics include positive and negative association.
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  • This site gives an explanation, a definition and an example of probability models. Topics include components of probability models and the basic rules of probability.
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  • This is a virtual linear regression calculator. It allows students to enter data points, experiment with where the line of best fit might be, and then lets them see the correct line of best fit as well as the outliers. You can click through the introduction.
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  • Here one finds a collection of applets and famous problems in probability (as well as other areas of mathematics such as calculus and geometry). Some of the topics/problems include: Bertrand's Paradox, Birthday Coincidence, Buffon's Needle (Noodle), Lewis Carroll's Problem, Monty Hall Dilemma, Parrondo Paradox, and Three pancakes problem.

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  • This website provides lesson plans, activities, a problem bank, and links to references that meet NCTM standards for probability.
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  • This section of the Engineering Statistics Handbook describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail.
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  • The ninth chapter of an online Introduction to Biostatistics course. Lecture notes and links for futher reading are provided.
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  • The fifth chapter of an online Introduction to Biostatistics course. Three sets of lecture notes are provided. Additionally, links for additional reading and exercises with solutions are provided. A link is also given for a related statistical applet on the normal distribution.

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  • This website lists five different types of probability sampling, giving the advantages and disadvantages of each.
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