GraphPad Prism 6.01
A biostatistics and curve fitting application that can help biologists and researchers analyze large data sets and generate comprehensive statistics
The application bundles a wide array of features and tools designed to guide you through all the necessary steps of organizing the information and performing detailed statistical analysis. While is is not intended to replace a professional statistics software, it can handle large data sets and allows you to perform various tests and measurements.
What makes GraphPad Prism worth your time is that it is not intended solely to statisticians, although having basic knowledge about the significance of the performed calculations is somewhat mandatory.
Its spreadsheet-like interface allows you to visualize the data in a structured manner, while providing quick access to all the tools you need. One cannot argue about its data organization capabilities, which is a rather important aspect, especially when it comes with scientific information.
GraphPad Prism helps you perform non-linear regressions and significantly simplifies curve fitting, since it can fit multiple data sets with a single operation.
Despite its easy approach, the application provides advanced analysis options. It is capable of automatically interpolating unknown values, performing statistical tests (F, T and ANOVA) to compare fits or test residuals for normality and much more. One of its most important advantages is that it uses a totally understandable language, avoiding statistical vocabulary.
GraphPad Prism bundles all the tools that you would expect from an application of its type. It runs detailed, thorough analysis and then enables you to check the resulting data for errors by retracing each performed step. It is a must-have tool for any researcher that conducts important experiments, generating complete projects that include more than simple graphs.
Reviewed by Mihaela Citea, last updated on November 4th, 2013
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What's New in This Release:
- Two-way ANOVA with repeated measures in both factors.
- Multiplicity adjusted (“exact”) P values for multiple comparison tests.
- New post tests - Fisher’s unprotected Least Significant Difference (LSD) and Holm-Sidak.
- Run a set of tests (one per row) at once, correcting for multiple comparisons with Bonferroni or by contolling the False Discovery Rate (FDR).
Application descriptionGraphPad Prism is a handy and reliable application designed for experimental biologists and drug companies in order to...