The Prism documentation goes beyond anything you would expect. Once you've made your choices, Prism presents the results on organized, easy-to-follow tables. Press 'Learn' from any data analysis dialog and Prism's online documentation will explain the principles of the analysis to help you make appropriate choices. Unlike other programs, Prism provides understandable statistical help when you need it. Analysis choices are presented in clear language that avoids unnecessary statistical jargon. Prism offers t tests, nonparametric comparisons, one-, two- and three-way ANOVA, analysis of contingency tables, and survival analysis. While it won't replace a heavy-duty statistics program, Prism lets you easily perform basic statistical tests commonly used by laboratory and clinical researchers. It can also automatically interpolate unknown values from a standard curve (i.e., to analyze RIA data), compare the fits of two equations using an F test or Akaike's Information Criterion (AIC), plot residuals, identify outliers, differentially weight data points, test residuals for normality, and much more.

It can report the confidence intervals of the best-fit parameters as asymmetrical ranges (profile likelihood method), which are far more accurate than the usual symmetrical intervals. Prism also gives you many advanced fitting options. You can fit the same model separately to each data set, use global nonlinear regression to share parameter values among data sets, or fit different models to different data sets.ĭon't be fooled by the simplicity. Place data for multiple data sets side-by-side on an organized data table, and Prism can fit them all the data sets at once. Just select an equation from the extensive list of commonly used equations (or enter your own equation) and Prism does the rest automatically - fits the curve, displays the results as a table, draws the curve on the graph, and interpolates unknown values. In fact, you can usually fit curves in a single step. No other program simplifies curve fitting like Prism.

Nonlinear regression is an important tool in analyzing data, but is often more difficult than it needs to be. It is also widely used by undergraduate and graduate students. More than 200,000 scientists in over 110 countries rely on Prism to analyze, graph and present their scientific data. Prism is now used much more broadly by all kinds of biologists, as well as social and physical scientists. GraphPad Prism was originally designed for experimental biologists in medical schools and drug companies, especially those in pharmacology and physiology. GraphPad Prism, available for both Windows and Mac computers, combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Analyze, graph and present scientific data faster than ever with Prism 7

Graphpad prism contingency table 4 rows