#### Filter Results:

#### Publication Year

2003

2014

#### Publication Type

#### Co-author

#### Publication Venue

#### Key Phrases

Learn More

• 25 randomly chosen people in a room • What is the probability two or more of them have the same birthday? • Model simplifications for a simple combinatorial solution: – Ignore leap years – Assume all 365 days equally likely • What error from assumptions? • As n increases, clearly P{X = 1} increases. • If n = 366 (still ignoring leap years), we are sure to… (More)

- T. Lynn Eudey, Joshua D. Kerr, Bruce E. Trumbo, Lynn Eudey
- 2010

all rights reserved. This text may be freely shared among individuals, but it may not be republished in any medium without express written consent from the authors and advance notification of the editor. Abstract Null distributions of permutation tests for two-sample, paired, and block designs are simulated using the R statistical programming language. For… (More)

- Bruce E. Trumbo, Eric A. Suess, Rebecca E. Brafman
- 2004

When population variances of observations in an ANOVA are a known function of their population means, many textbooks recommend using variance-stabilizing transformations. Examples are: square root transformation for Poisson data, arcsine of square root for binomial proportions, and log for exponential data. We investigate the usefulness of transformations… (More)

- Douglas M. Bates, George P. H. Styan, +5 authors Brian L. Joiner
- 2003

Licensees of Release 11 CIS/ED are granted a non-exclusive, royalty-free license to copy and to distribute this User Guide to authorized users of the database. Each such copy must contain the title page and this page in its entirety. No bibliography, index, or other work (whether in computer-readable, printed or other form) derived from more than 250… (More)

- Ayona Chatterjee, Bruce E. Trumbo
- Encyclopedia of Social Network Analysis and…
- 2014

Graphical and numerical illustrations of the effects of moderate to severe rounding of normal data on the values of test statistics, actual significance level, and power for one-sample t tests and paired t tests. Goodness-of-fit tests confirm nonnormality of rounded normal data. Combinatorial computations, simulations, and graphs are made using R. The level… (More)

Graphical and numerical illustrations of the effects of moderate to severe rounding of normal data on the values of test statistics, actual significance level, and power for one-sample t tests and paired t tests. Goodness-of-fit tests confirm that rounded normal data are not normal. Combinatorial computations, simulations, and graphs are made using R. The… (More)

- Vadim Y. Bichutskiy, Joshua D. Kerr, Eric A. Suess, Bruce E. Trumbo
- 2010

Will appear here...