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 Introduction to Minitab Created by Ginger Rowell of Middle Tennessee State University, this laboratory introduces students to the basics of the Minitab software. Students make use of a basic example (water consumption and temperature) to introduce students to manipulation of data, calculation of descriptive statistics, creation of histograms, boxplots and scatterplots. Students are asked to hand in the results they... https://www.causeweb.org/repository/
 Practical Analysis of Nutritional Data This online textbook, created by faculty members at Tulane University, provides information on the statistical analysis of nutritional data. Techniques covered include data cleaning, descriptive statistics, histograms, graphics, scatterplots, outlier identification, regression and correlation, confounding, and interactions. Each chapter includes exercises with real data and self-tests to be... http://www.tulane.edu/~panda2/Analysis2/ahome.html
 Resampling Statistics: Randomization and the Bootstrap Created by David Howell of the University of Vermont, this set of pages describes software the author wrote to implement bootstrap and resampling procedures. It also contains an introduction to resampling and the bootstrap; and examples applying these procedures to the mean, the median, correlation between two groups, and analysis of variance. The author carefully explains the different types of... http://www.uvm.edu/~dhowell/StatPagesOLD/Resampling/Resampli...
 SalStat SalStat is an small application for the statistical analysis of scientific data (with a special concentration on psychology). It can already do 18 kinds of descriptive statistics, t tests (paired, unpaired and one sample), 3 kinds of correlations linear regression and point biserial tests, and single factor ANOVA (both within and between subjects). Data are entered on an easy-to-use datagrid like... http://directory.fsf.org/wiki/SalStat
 NIST XCOM: Photon Cross Sections Database This web program, funded in part by the National Institute of Standards and Technology (U.S.) is used to calculate photon cross sections for scattering, photoelectric absorption and pair production, as well as total attenuation coefficients, in any element, compound or mixture, at energies from 1 keV to 100 GeV. The contents section of the site contains an introduction, database for elements,... http://www.nist.gov/pml/data/xcom/index.cfm
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