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The preferred analysis and graphing solution purpose-built for scientific research. Join the world’s leading scientists and discover how you can use Prism to save time, make more appropriate analysis choices, and elegantly graph and present your scientific research.
GraphPad Prism was originally developed for experimental biologists, medicine scientists and pharmacologists. Meanwhile Graphpad Prism is used throughout the life sciences sector. Many undergraduate and graduate students also use GraphPad Prism.
GraphPad Prism guides you through the process of the analysis. It facilitates the choice of the statistical tests and help you to interpret the results. No other software offers curve fitting and other statistical analysis to be so easy, comprehensive, correct and simple!
GraphPad Prism provides t-tests, one, two, and three-way ANOVA, non-parametric comparisons, linear and non-linear regression, analysis of contingency tables and survival analysis. In addition, GraphPad Prism offers a large selection of presentable graphs. The graphics engine is extremely flexible and admits various designs. Flexible templates allow rapid creation of graphs with just a single click.
Create Bubble Plots directly from raw data, encoding variables for position (X- and Y-coordinates), color, and size
Visualize distributions of large data sets with either extended or truncated violin plots
Automatically display your analysis results
Major improvements in showing general data trends through Akima splines and smoothing splines with improved control over the number of knots, or inflection points
Automatically add multiple comparison results to graphs
Annotate your bar graphs with values for the means, medians, or sample sizes to emphasize what's important in your work
Easily create graphs that show both individual points (scatter) along with bars for mean (or median) and error bars
And.....
Unlike spreadsheets or other scientific graphing programs, Prism has eight different types of data tables specifically formatted for the analyses you want to run. This makes it easier to enter data correctly, choose suitable analyses, and create stunning graphs.
Avoid statistical jargon. In clear language, Prism presents an extensive library of analyses from common to highly specific—nonlinear regression, t tests, nonparametric comparisons, one-, two- and three-way ANOVA, analysis of contingency tables, survival analysis, and much more. Each analysis has a checklist to help you understand the required statistical assumptions and confirm you have selected an appropriate test.
Reduce the complexity of statistics. Prism’s online help goes beyond your expectations. At almost every step, access thousands of pages from the online Prism Guides. Browse the Graph Portfolio and learn how to make a wide range of graph types. Tutorial data sets also help you understand why you should perform certain analyses and how to interpret your results.
No other program simplifies curve fitting like Prism. Select an equation and Prism does the rest—fits the curve, displays a table of results and function parameters, draws the curve on the graph, and interpolates unknown values.
No coding required. Graphs and results are automatically updated in real time. Any changes to the data and analyses—adding missed data, omitting erroneous data, correcting typos, or changing analysis choices—are reflected in results, graphs, and layouts instantaneously.
Reduce tedious steps to analyze and graph a set of experiments. It is easy to replicate your work by creating a template, duplicating a family, or cloning a graph—saving you hours of set up time. Apply a consistent look to a set of graphs with one click using Prism Magic.
Focus on the story in your data, not manipulating your software. Prism makes it easy to create the graphs you want. Choose the type of graph, and customize any part—how the data is arranged, the style of your data points, labels, fonts, colors, and much more. The customization options are endless.
Reduce time to publish. Prism allows you to customize your exports (file type, resolution, transparency, dimensions, color space RGB/CMYK) to meet the requirements of journals. Set your defaults to save time.
Share more than your graphs. Prism’s comprehensive record of your data enables effective collaboration with other scientists. All parts of your Prism project (raw data, analyses, results, graphs, and layouts) are contained in a single file that you can share with one click. Now others can easily follow your work at every step, enhancing the clarity of your findings and streamlining your collaborative efforts.
Introducing an even more powerful Prism featuring enhanced data visualization and graph customization, more intuitive navigation, and more sophisticated statistical analyses.
Visualize distributions of large data sets more clearly than with box-whisker or simple bar graphs
Organize related subsets of nested data in a single graph
Major improvements in showing general data trends through Akima splines and smoothing splines with improved control over the number of knots, or inflection points
More intelligent adjustments of data point positions in scatter plots for better looking graphs
Easily annotate your data with asterisks or custom labels
Annotate your bar graphs with values for the means, medians, or sample sizes to emphasize what's important in your work
Easily create graphs that show both individual points (scatter) along with bars for mean (or median) and error bars
New family panel shows the family of sheets related to the current sheet, and chains of analyses are automatically indented
Analyses with multiple results tables now grouped into a single sheet with tabs for each result table; choose which tabs to show or hide
Search by sheets with highlights or notes of specified color
Each row represents a different subject and each column is a different variable, allowing you to perform Multiple linear regression (including Poisson regression), extract subsets of data into other table types, or select and transform subsets of the data
Analyze and visualize data that contains subsets within related groups; Perform nested t tests and nested one-way ANOVA using data within these tables
Now Prism will automatically fit a mixed effects model to complete this analysis
View cell, row, column, and grand means (or least square means when data is missing); test for homogeneity of variance. For one-way ANOVA, choose a test that does not assume homogeneous variances.
Utilize new types of data tables to perform nested t-tests and nested ANOVA as well as multiple linear regression (including Poisson regression)
Test residuals for normality in four different ways, and choose from four different ways to display these residuals
STATCON not only offers professional statistical software solutions, we also offer professional trainings and consulting for those solutions so that you get the maximum out of your software! We offer simple trainings that will introduce you to the software and it's basic features but also more comprehensive trainings with deepth inside into specific functions of the software. Trainings are held as In-house and Off-site trainings. If you would like to attend a comfortable online-training, take a look at our webinars.
This training teaches a solid foundation for everyone working with GraphPad Prism. You learn the complete course of a data analysis ranging from data import and descriptive statistical analysis to creation and optimmization of the output. Go to Article...
This one-day-course emphasizes the graphical features of Grapad PRISM. This course does not focus on any statistical details, only a few simple descriptive statistics (average, standard deviation, standard error) will be calculated using Graphpad Prism. This course is also used as an introduction of Graphpad Prism, thus other, more statistical, courses will built on it. Go to Article...
This two-day-course is an advanced training based on the Introduction to Data Analysis with GraphPad Prism. It covers multiple statistical tests for group comparisons including ANOVA, t-Tests and nonparametric methods. Keywords like: t-test, ANOVA, Kruskal-Wallis, gaussian distribution, homogeneity, post hoc tests, paired / unpaired will be explained. Go to Article...
This two-day-course introduces linear and non-linear regression models. The class covers all methods of regression analysis (linear and nonlinear) which are implemented in GraphPad Prism. Keywords like: linearity, statistical modeling, least squares method, constraints, global fit, model comparisons, dose response curves and enzyme cinetic models will be explained. Go to Article...
Since August 2012 there is a new release of Graphpad Prism. Not only the user interface is revamped, also many statistical and graphical functions were added. This webinar is a comprehensive and effective tour around the new version of PRISM Graphpad. Go to Article...
This websession presents a typical stepwise workflow beginning with data entry, briefly showing the different analysis procedures and finally presenting the results. Go to Article...
offers a wide spectrum of statistical and graphical analysis. This websession presents a typical stepwise workflow beginning with data entry, briefly showing the different analysis procedures and finally presenting the results. Go to Article...
| Windows | Mac | |
| Further Requirements | Must connect to the internet to verify the license when it is first activated and also at at least once every 30 days (or every 20 launches, whichever comes sooner). |
Must connect to the internet to verify the license when it is first activated and also at at least once every 30 days (or every 20 launches, whichever comes sooner). |
| Operating System |
Windows 7,8 and 10 (32-/64-Bit) |
Runs under macOS X 10.9 (Mavericks) or later. If you use macOS 10.8, Prism will launch and seems to run OK, but we haven’t tested Prism thoroughly under this version of macOS and can’t provide much support. If you use 10.8, we urge you to update MacOS. |
| Display Resolution | at least 800 x 600 pixels | at least 1024 x 768 pixels |
| Disk Space | 100 MB | 130 MB |
