
P.Mean: Glossary for my
second book (created 20100811, updated 20130802).

As I mentioned in an earlier webpage, I am
talking to some publishers about writing a second book. Here's a tentative
glossary for that book. I'm only including the terms in the glossary for now,
but will eventually add definitions.
 Alpha level. Every statistical test has the possibility of making a Type I error or a Type II error. Alpha is the probability that your statistical test will make a Type I error. Typically, you select a test that has a small probability of a Type I error (e.g., alpha=5%). Sometimes, you are willing to tolerate a larger Type I error, if Type II errors are more serious, and will set alpha to 10% or even higher. Sometimes, Type I errors are very serious and you will require a much smaller probability for the Type I error (e.g., alpha=1%).
 Alternative hypothesis
 Beta level
 Block randomization
 Boxplot.
 Confidence interval
 Convenience sample
 Null hypothesis
 Percentile
 Power
 Pvalue
 Random sample
 Sampling frame
 Type I error
 Type II error
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Steve Simon and was last modified on
20100816. Need more
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Category: Professional details.