MSMS 5010, BCOR 5570 - Biostatistics

"Analysis of Variance." A statistical test for heterogeneity of means by analysis of group variances.

The UCLA Institute for Digital Research & Education offers a table that you can use to choose statistical tests, as well as instructions on how to run the tests in SAS, STATA, SPSS, and R.

Estimating the probability that the sample mean exceeds a given value in the sampling distribution of the sample mean.

The t-test assesses whether the means of two groups are statistically different from each other. This analysis is appropriate whenever you want to compare the means of two groups, and especially appropriate as the analysis for the posttest-only two-group randomized experimental design.

JMP (pronounced "jump") is a suite of computer programs for statistical analysis developed by the JMP business unit of SAS Institute. It was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh. It has since been significantly rewritten and made available for the Windows operating system. JMP is used in applications such as Six Sigma, quality control, and engineering, design of experiments, and research in science, engineering, and social sciences.

Primer-E 7: Robust, widely applicable, statistical analysis of multivariate data, e.g. species assemblages, physico-chemical variables, genetic, microbial, biomarker, diet, RS, modelling etc data. A ‘standard’ for marine community & biodiversity research, increasingly used in terrestrial, freshwater & palaeo studies. Also widely used commercially for assessing environmental impacts of oilfields, discharges, mining, trawling, aquaculture. The methods make few, if any, assumptions about the form of the data ('non-metric' ordination and permutation tests are fundamental to the approach) and concentrate on approaches that are straightforward to understand and explain.

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

PSS is software for editing and analyzing all sorts of data. These data may come from basically any source: scientific research, a customer database, Google Analytics or even the server log files of a website. SPSS can open all file formats that are commonly used for structured data such as: spreadsheets from MS Excel or OpenOffice; plain text files (.txt or .csv); relational (SQL) databases; Stata and SAS.

Tableau is interactive data visualization software that can query relational databases, online analytical processing cubes, cloud databases, and spreadsheets to generate graph-type data visualizations. The products can also extract, store, and retrieve data from an in-memory data engine. Tableau can directly connect to Esri shapefiles and R software.