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. | 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== | ||
[[Problem 2-1, Comparing a single mean to a specified value|Problem 2-1]] | [[Problem 2-1, Comparing a single mean to a specified value|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 2-2, Comparing a single mean to a specified value (second example)]] | ||
[[ | [[Problem 2-4, Determining required sample size|Problem 2-4, Determining required sample size]] | ||
[[ | [[Problems 3-1 through 3-3, Analysis of variance|Problems 3-1 through 3-3, Analysis of variance]] | ||
[[ | [[Problem 4-1, Randomized blocks|Problem 4-1, Randomized blocks]] | ||
[[ | [[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