Statistics Tutorial: Design and Analysis of Experiments: Difference between revisions

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This is a tutorial for Dr. Brash's statistics class, at Christopher Newport University. Here, we will present detailed solutions to several problems from the first few chapters of ''Design and Analysis of Experiments'', 6th ed. by Douglas Montgomery. Solutions are available in Microsoft Excel format and [http://www.r-project.org R] format. Although beginners typically find Microsoft Excel easier to use, it proves to be very limiting for more advanced statistical analysis. R is a much more flexible and powerful software package for statistical analysis which is freely available, but has a somewhat steeper learning curve than Excel.
This is a tutorial for Dr. Edward Brash's statistics class, at Christopher Newport University. Detailed solutions are presented for several problems from the first few chapters of ''Design and Analysis of Experiments'', 6th ed. by Douglas Montgomery. Solutions were prepared using the <tt>R</tt> statistical programming language, which is much more powerful than <tt>MS Excel</tt>, but has a significantly steeper learning curve.


==Solutions==
==Solutions==
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[[Problem 2-4, Determining required sample size|Problem 2-4, Determining required sample size]]
[[Problem 2-4, Determining required sample size|Problem 2-4, Determining required sample size]]


[[User:Pcarter/3-1 through 3-3|3-1 through 3-3]]
[[Problems 3-1 through 3-3, Analysis of variance|Problems 3-1 through 3-3, Analysis of variance]]


[[User:Pcarter/4-1|Problem 4-1]]
[[Problem 4-1, Randomized blocks|Problem 4-1, Randomized blocks]]


[[User:Pcarter/5-1|Problem 5-1]]
[[Problem 5-1, Factorial designs|Problem 5-1, Factorial designs]]

Latest revision as of 17:28, 5 August 2010

This is a tutorial for Dr. Edward Brash's statistics class, at Christopher Newport University. Detailed solutions are presented for several problems from the first few chapters of Design and Analysis of Experiments, 6th ed. by Douglas Montgomery. Solutions were prepared using the R statistical programming language, which is much more powerful than MS Excel, but has a significantly steeper learning curve.

Solutions

Problem 2-1, Comparing a single mean to a specified value

Problem 2-2, Comparing a single mean to a specified value (second example)

Problem 2-4, Determining required sample size

Problems 3-1 through 3-3, Analysis of variance

Problem 4-1, Randomized blocks

Problem 5-1, Factorial designs

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