Analyze, graph and present your scientific work.
Prism è
un ottimo software per la biostatistica di base e la grafica
scientifica.
Grazie alla semplicità di approccio, alla potenza di
analisi e di grafica negli esperimenti ripetitivi, all'applicazione
del test statistico più appropriato, alla capacità
di interpretazione dei risultati, Prism è il software
ideale per l'applicazione nelle scienze della vita.
Quello
che rende Prism unico non è tanto quello che fa, ma
come lo fa.
Creato per i ricercatori di laboratorio e clinici, Prism guida
l'utilizzatore privo di conoscenze statistiche attraverso
il processo di analisi, supportandolo con tutto l'aiuto
che necessita; è possibile così concentrarsi
sui dati e non sul funzionamento del software. 
Why Choose Prism?
Save Time Performing Statistical Analyses
A versatile statistics
tool purposebuilt for scientists—not statisticians. Get a head start by
entering data into tables that are structured for scientific research
and guide you to statistical analyses that streamline your research
workflow. No coding required.
Learn more 

Make More Accurate, More Informed Analysis Choices
Gain insights and guidance
at every step so you make the right analysis choices, understand the
underlying assumptions, and accurately interpret your data along the
way.
Learn more 

Tell a Story With Your Data
Prism makes it easy to
collaborate with colleagues, receive feedback from peers, and share your
research with the world. Go from data to elegant, publicationquality
graphs—with ease. Prism offers countless ways to customize your graphs,
from color schemes to how you organize data. Export into almost any
format, send to PowerPoint, or email directly from the application.
Learn more 

Introducing Prism 8!
The most intuitive and sophisticated version of Prism yet.
Learn More
Resources
Master the key principles of statistics with GraphPad's hugely popular educational guides and resources.



Statistics
help you understand patterns in the world. But analyzing data
incorrectly can result in misleading or false conclusions when
interpreting those patterns. This guide will help you avoid common
mistakes that many textbooks barely mention. 
Many
scientists fit curves more often than they use any other statistical
technique, yet many don’t really understand the principles. This guide
provides a concise introduction to fitting curves, especially nonlinear
regression. 
Join the thousands of scientists that use one of our 25+ online calculators to run quick statical tests every day. 
The preferred analysis and graphing solution purposebuilt 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.
Comprehensive Analysis and Powerful Statistics, Simplified
Organize Your Data Effectively
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. 

Perform The Right Analysis
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 threeway 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. 

Get Actionable Help As You Go
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. 

Work Smarter, Not Harder
OneClick Regression Analysis
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. 

Focus on Your Research, Not Your Software
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. 

Automate Your Work Without Programming
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. 

The Fastest Way to Elegantly Graph and Share Your Work
Countless Ways to Customize Your Graphs
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 parthow
the data is arranged, the style of your data points, labels,
fonts, colors, and much more. The customization options are endless.
Export PublicationQuality Graphs With One Click
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. 

Enhance Collaboration
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.


Discover What's New in Prism 8!
Introducing an even more powerful Prism featuring enhanced data
visualization and graph customization, more intuitive navigation, and
more sophisticated statistical analyses.
Enhanced Data Visualization

Violin plots
Visualize distributions of large data sets more clearly than with boxwhisker or simple bar graphs


Subcolumn graphs
Organize related subsets of nested data in a single graph


Smoothing spline
Major improvements in showing general data trends through
Akima splines and smoothing splines with improved control over the
number of knots, or
inflection points


No more smiles
More intelligent adjustments of data point positions in scatter plots for better looking graphs

Read More
Improved Graphing and Customization Options

Draw lines and brackets with centered text
Easily annotate your data with asterisks or custom labels


Automatically label bar graphs
Annotate your bar graphs with values for the means, medians, or sample sizes to emphasize what's important in your work


Improved grouped graphs
Easily create graphs that show both individual points (scatter) along with bars for mean (or median) and error bars

Read More
More Intuitive Navigation
Find related sheets easily
New family panel shows the family of sheets related to the
current sheet, and chains of analyses are automatically indented
Easily navigate between multiple results tables
Analyses with multiple results tables now grouped into a
single sheet with tabs for each result table; choose which tabs to show
or hide
Improved Search
Search by sheets with highlights or notes of specified color
Now Featuring Eight Kinds of Data Tables
New: Multiple variables data table
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
New: Nested data table
Analyze and visualize data that contains subsets within related groups; Perform nested t tests and nested oneway ANOVA
using data within these tables
More Sophisticated Statistical Analyses
Perform repeated measures ANOVA  even with missing data
Now Prism will automatically fit a mixed effects model to complete this analysis
Powerful Improvements in regular ANOVA
View cell, row, column, and grand means (or least square
means when data is missing); test for homogeneity of variance. For
oneway ANOVA, choose a test
that does not assume homogeneous variances.
Nested t test and nested oneway ANOVA
Utilize new types of data tables to perform nested ttests
and nested ANOVA as well as multiple linear regression (including
Poisson regression)
Graph residuals from multiple types of analyses
Test residuals for normality in four different ways, and choose from four different ways to display these residuals
Discover the Breadth of Statistical Features Available in Prism 8
Statistical Comparisons

Paired or unpaired t tests. Reports P values and confidence intervals.

Automatically generate volcano plot (difference vs. P value) from multiple t test analysis.

Nonparametric MannWhitney test, including confidence interval of difference of medians.

KolmogorovSmirnov test to compare two groups.

Wilcoxon test with confidence interval of median.

Perform many t tests at once, using False Discovery Rate (or
Bonferroni multiple comparisons) to choose which comparisons are
discoveries to study further.
 Ordinary or repeated measures ANOVA followed by the Tukey,
NewmanKeuls, Dunnett, Bonferroni or HolmSidak multiple comparison
tests, the posttest for trend, or
Fisher's Least Significant tests.

Oneway ANOVA without assuming populations with equal standard
deviations using BrownForsythe and Welch ANOVA, followed by appropriate
comparisons tests
(GamesHowell, Tamhane T2, Dunnett T3)

Many multiple comparisons test are accompanied by confidence intervals and multiplicity adjusted P values.

GreenhouseGeisser correction so repeated measures one, two,
and threeway ANOVA do not have to assume sphericity. When this is
chosen, multiple comparison tests
also do not assume sphericity.

KruskalWallis or Friedman nonparametric oneway ANOVA with Dunn's post test.

Fisher's exact test or the chisquare test. Calculate the relative risk and odds ratio with confidence intervals.

Twoway ANOVA, even with missing values with some post tests.
 Twoway ANOVA, with repeated measures in one or both factors.
Tukey, NewmanKeuls, Dunnett, Bonferroni, HolmSidak, or Fisher's LSD
multiple comparisons testing
main and simple effects.

Threeway ANOVA (limited to two levels in two of the factors, and any number of levels in the third).

Analysis of repeated measures data (one, two, and threeway)
using a mixed effects model (similar to repeated measures ANOVA, but
capable of handling missing
data).

KaplanMeier survival analysis. Compare curves with the logrank test (including test for trend).

Comparison of data from nested data tables using nested t test or nested oneway ANOVA (using mixed effects model).
Nonlinear Regression

Fit one of our 105 builtin equations, or enter your own. Now
including family of growth equations: exponential growth, exponential
plateau, Gompertz, logistic, and
beta (growth and then decay).

Enter differential or implicit equations.

Enter different equations for different data sets.
 Global nonlinear regression  share parameters between data sets.

Robust nonlinear regression.

Automatic outlier identification or elimination.

Compare models using extra sumofsquares F test or AICc.

Compare parameters between data sets.

Apply constraints.

Differentially weight points by several methods and assess how well your weighting method worked.

Accept automatic initial estimated values or enter your own.

Automatically graph curve over specified range of X values.

Quantify precision of fits with SE or CI of parameters.
Confidence intervals can be symmetrical (as is traditional) or
asymmetrical (which is more accurate).
 Quantify symmetry of imprecision with Hougaard's skewness.

Plot confidence or prediction bands.

Test normality of residuals.

Runs or replicates test of adequacy of model.

Report the covariance matrix or set of dependencies.

Easily interpolate points from the best fit curve.

Fit straight lines to two data sets and determine the intersection point and both slopes.
Column Statistics

Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.

Mean or geometric mean with confidence intervals.

Frequency distributions (bin to histogram), including cumulative histograms.

Normality testing by four methods (new: AndersonDarling).

Lognormality test and likelihood of sampling from normal (Gaussian) vs. lognormal distribution.

Create QQ Plot as part of normality testing.

One sample t test or Wilcoxon test to compare the column mean (or median) with a theoretical value.

Identify outliers using Grubbs or ROUT method.
 Analyze a stack of P values, using Bonferroni multiple
comparisons or the FDR approach to identify "significant" findings or
discoveries.
Linear Regression and Correlation

Calculate slope and intercept with confidence intervals

Force the regression line through a specified point.

Fit to replicate Y values or mean Y.

Test for departure from linearity with a runs test.

Calculate and graph residuals in four different ways (including QQ plot).

Compare slopes and intercepts of two or more regression lines.

Interpolate new points along the standard curve.

Pearson or Spearman (nonparametric) correlation.

Multiple linear regression (including Poisson regression) using the new multiple variables data table.
Clinical (Diagnostic) Lab Statistics

BlandAltman plots.

Receiver operator characteristic (ROC) curves.

Deming regression (type ll linear regression).
Simulations

Simulate XY, Column or Contingency tables.

Repeat analyses of simulated data as a MonteCarlo analysis.

Plot functions from equations you select or enter and parameter values you choose.
Other Calculations

Area under the curve, with confidence interval.

Transform data.

Normalize.

Identify outliers.

Normality tests.

Transpose tables.

Subtract baseline (and combine columns).

Compute each value as a fraction of its row, column or grand total.
Prism 8 for Windows
 Runs under either the 32 or 64bit versions of Windows Vista, 7, 8 or 10. The installer will detect your version of Windows and install the 32 or 64bit version of Prism accordingly.
 Requires a display resolution of at least 800 x 540 pixels. So the lowest standard display resolution for Prism is 800 x 600.
 Requires about 100 MB (megabytes) of space on the hard drive.
 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).
Prism 8 for Mac
 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.
 Requires a display with a resolution of at least 1024 x 768 pixels.
 Requires about 130 MB (megabytes) of space on the hard drive.
 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).
