#### 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 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.

#### 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

### 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 part—how the data is arranged, the style of your data points, labels, fonts, colors, and much more. The customization options are endless.

#### 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

#### Improved Graphing and Customization Options

#### More Intuitive Navigation

###### Improved grouped graphs

###### 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

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 one-way ANOVA using data within these tables

nested t tests and nested one-way 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 one-way ANOVA, choose a test

that does not assume homogeneous variances.

missing); test for homogeneity of variance. For one-way ANOVA, choose a test

that does not assume homogeneous variances.

###### Perform simple and multiple logistic regression

Fit a model to a binary outcome (yes/no, win/lose, pass/fail) based on one predictor

variable (simple logistic regression) or many predictor variables (multiple logistic regression).

variable (simple logistic regression) or many predictor variables (multiple logistic regression).

###### Nested t test and nested one-way ANOVA

Utilize new types of data tables to perform nested t-tests and nested ANOVA as well

as multiple linear regression (including Poisson regression)

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