Data Import & Analysis

This video shows how Prism’s data transformation tools simplify analyzing research and student data—transforming p-values, calculating stats, removing baselines, and selecting subsets—to quickly visualize and explore results without needing spreadsheets.

LENGTH 11 Minutes

Learn how to create calculated variables directly in your Multiple Variables table, no extra spreadsheets needed.

LENGTH 6 Minutes

Learn how to use Prism’s extract and rearrange tool to quickly filter, organize, and analyze complex datasets for t-tests, ANOVA, and contingency tests—saving time and simplifying advanced data analysis.

LENGTH 10 Minutes

This tutorial introduces Prism's power analysis and sample size estimation tools. It walks through calculating sample size based on desired power, effect size, and significance level for t tests and ANOVAs, using real data and customizable options.

LENGTH 9 Minutes

This video shows how to use hierarchical clustering in Prism to group data, visualize dendrograms, and identify clusters using concepts like Euclidean distance and silhouette plots.

LENGTH 12 Minutes

In this video, K means clustering in Prism groups data into clusters and reveals patterns using silhouette plots and heat maps for better visualization.

LENGTH 12 Minutes

This tutorial shows how to use Prism’s Cox proportional hazards regression to explore survival outcomes with multiple categorical predictors, estimate significance, and visualize effects using hazard ratios and parameter covariance for deeper insights.

LENGTH 8 Minutes

Learn multiple linear regression in Prism: predict outcomes, check fit, test significance, assess residuals, and avoid multicollinearity.

LENGTH 13 Minutes

Use Prism’s multivariable tools to explore multiple logistic regression with Titanic data. Learn to predict survival using binary and continuous variables, interpret odds ratios, ROC curves, model fit, and row-level prediction accuracy.

LENGTH 8 Minutes

Use Poisson regression in Prism to model non-normal, count-based outcomes like review attendance. Learn to assess predictors, interpret log-scale coefficients, handle multicollinearity, and evaluate model fit with residuals and predicted values.

LENGTH 11 Minutes

Learn more about this powerful tool used for exploratory analyses with large datasets

LENGTH 6 minutes

This video shows how to set up dose-response curves in GraphPad Prism, including data entry, log transformation, curve fitting, and refining IC₅₀ values for accurate cancer drug response analysis.

LENGTH 11 Minutes