Statistics in Prism

Prism has eight data tables, each one aligned with a specific set of analyses and graphs. This video will show you how to choose the right table and explain how to enter your data into that table.

5 Minutes

Important analyses such as dose-response, nonlinear regression, simple logistic regression, and simple linear regression can only be run from an XY table. Learn more here.

4 Minutes

If you have a single categorical variable with two or more groups and a numeric response, you need a Column data table. Watch this video to learn more.

4 Minutes

If you have two categorical variables and a numeric response, you need a Grouped data table. Important analyses such as two-way and three-way ANOVA and multiple t tests can only be run from a Grouped table. Watch this video for more.

4 Minutes

If you have more than two numeric columns that you want to relate to each other, you need a Multiple Variables data table. I

4 Minutes

If you have two categorical variables and one variable is nested within the other, then you need a Nested data table. Important analyses such as nested one-way ANOVA and nested t tests can only be run from a nested table.

4 Minutes

Need specific tables for different data types: Contingency for counts, Survival for time-to-event, Parts of a Whole for grouped counts. Vital for tests like Chi-square, Fisher’s exact, and Kaplan-Meier analysis. Learn more in this video.

4 Minutes

Learn how to find out more about your data in Prism, including quartiles, median, SD, SEM, confidence interval, coefficient of variation, geometric mean, and more. In addition, this video will cover how to test for normality in your experimental data.

14 Minutes

Learn the steps required to undertake a t test in Prism. The video also features tips to help you more efficiently navigate and use Prism.

10 Minutes

It’s easy to produce a p value, but it’s difficult to do good stats. This video walks you through what you should consider before running a one-way ANOVA.

11 Minutes

Learn the steps required to perform a one-way repeated measures ANOVA, including how to correctly enter your data and specify where the repeated measures occur in your data.

11 Minutes

Learn when you should use a two-way ANOVA test, as well as the steps to performing the analysis.

13 Minutes

Learn the steps required to perform a three-way ANOVA, including the analysis choices and options available in Prism to help you extract the most information out of your three-factor experiments.

10 Minutes

Learn the steps required to perform a linear regression, including the analysis choices and options available in Prism to help you extract the most information out of your regression analyses.

9 Minutes

Learn how to correctly enter failure/censor times and perform a Kaplan-Meier survival analysis in Prism.

12 Minutes

Learn the steps required to perform Chi-square and Fisher’s exact tests in Prism, including how to select and interpret an odds ratio.

8 Minutes

This video introduces Principal Component Analysis, or PCA, a powerful tool used for exploratory analyses with large datasets.

6 Minutes

Principal Component Analysis is a powerful tool for data exploration and dimension reduction. If you have a dataset that you’re attempting to analyze, this video will help you decide if PCA is an appropriate tool.

6 Minutes

For many scientists, PCA is a black box technique. In this lesson, we delve into the primary method underneath PCA, which is the Singular Value Decomposition.

5 Minutes

This lesson walks you through the choices that you’ll need to make to fit a PCA model in Prism.

There are a lot of output options for PCA, and in this lesson, we walk you through how to interpret the output. This includes tables of outputted information as well as useful graphics.

5 Minutes

If your data has too many columns and not enough rows to fit linear regression, PCR may be a good solution. It first fits PCA and then fits PCR on the principal components. Watch this video to learn more.

6 Minutes

Watch this video to learn more about P-Hacking with tips on how you can avoid it.

4 minutes

Watch this video to learn about the similarities and differences between correlation and regression and the advantages of each.

4 Minutes

This video provides an informative overview of how to choose the right statistical test in Prism for your analyses. Think of this as a decision-making framework for all your data analysis projects in Prism.

4 Minutes

Dose-response experiments in the real-world are rarely straightforward. Learn about each of the parameters in the 4-parameter logistic model and how to identify and solve issues related to ambiguous models, unstable parameters, extrapolation, and outliers.

8 Minutes

Learn about some of the ways that repeated measures can appear in an experiment

3 minutes

Watch this video to learn more about when to use regression instead of ANOVA

2 minutes

It’s easy to produce a p value, but it’s difficult to do good stats. This video walks you through what you should consider before running a one-way ANOVA.

11 Minutes

Learn the steps required to perform a one-way ANOVA, including what analysis choices and options you will have to make about your experiment to perform the analysis.

11 minutes

Learn the steps required to perform a one-way repeated measures ANOVA, including how to correctly enter your data and specify where the repeated measures occur in your data.

11 Minutes

Learn to determine whether a paired, unpaired, or one-sample t-test is appropriate in your particular situation

2 minutes

Learn how you can use Prism's two sample t test to help check the analysis of your assumptions

10 minutes

Did you know that you can perform multiple t tests in Prism, including nonparametric analyses and multiple paired t tests?

5 Minutes

Prism’s nonlinear regression is an incredibly powerful and useful tool with many analysis options. Learn how to perform a nonlinear regression analysis in Prism and see how it can be used to analyze dose-response data.

14 Minutes

Dose-response experiments in the real-world are rarely straightforward. Learn about each of the parameters in the 4-parameter logistic model and how to identify and solve issues related to ambiguous models, unstable parameters, extrapolation, and outliers.

8 Minutes

Transformations are often required to meet the assumptions for analysis or to improve the appearance and interpretability of a graph. This video shows you how to easily transform your data using Prism’s built-in functions and much more!

15 Minutes

Learn the significance of normalization—aligning response scales & setting shared min-max values (e.g., 0-100) across datasets. This video will guide you to normalize efficiently using Prism, covering reasons and rapid steps for normalization.

8 Minutes

Discover the process of eliminating baseline values and executing column operations and gain insights into optimal timing for baseline removal, techniques to define values, and the impact on repeated measures and replicates.

10 Minutes

Watch this video to learn the steps you need to follow in order to transpose data and review the results in Prism.

8 Minutes

Learn how to summarize your data in Prism, including quartiles, median, SD, SEM, confidence interval, coefficient of variation, geometric mean, and more. In addition, this video will cover how to test for normality in your experimental data.

14 Minutes

Learn how to test your data for normality and lognormality in Prism. This video walks you through how to statistically analyze whether or not a data set was drawn from a normal population.

20 Minutes

Watch this video to learn the steps required to generate a frequency distribution of a data set in Prism.

13 Minutes

This video will guide you through the steps required to detect and remove outliers from data in Prism.

3 Minutes

Learn the benefits and drawbacks of a nonparametric analysis and when it’s important to use one.

2 minutes

Determine if there is a significant difference between two proportions

2 Minutes

Learn about the differences between one-tailed and two-tailed hypothesis tests and their advantages and disadvantages

2 minutes

Regression is a powerful tool, but care needs to be taken when performing the analysis, making predictions, and interpreting the results. In this video, learn when it’s appropriate to use regression and how to avoid common pitfalls.

4 Minutes

Correlation is used to assess how strong the linear relationship is between two numeric variables. Learn how to perform a correlation analysis in Prism and how to correctly interpret the results.

10 Minutes

This video will walk you through how to fit a regression line to a subset of data while still graphing all of the data on a graph.

10 Minutes

Watch this video to learn more about when to use regression instead of ANOVA

2 minutes

Prism is a powerful tool, but without an understanding of the fundamentals of statistics, it can be intimidating. This video gives you the statistical background you need to start performing analyses in Prism with confidence.

5 Minutes

Parametric tests, such as the unpaired t test, have important assumptions that need to be verified before an analysis can be carried out. This video discusses those assumptions and how to verify them using statistical tests and data exploration graphs.

10 Minutes

Sample size plays a critical role in every statistical analysis. Learn how power analysis can help you get a large enough sample size to detect the effect you are looking for while avoiding unnecessarily large sample sizes that waste resources.

11 Minutes

Summarizing your data into a few useful statistics allows you to quickly and concisely see differences between groups and/or trends over time. Measures of center and spread are covered as well as an introduction to confidence intervals.

9 Minutes

Running a Chi-square or Fisher’s exact test will help you determine whether or not there is a significant difference between two proportions. However, there are a few questions you should consider answering before running each test.

2 Minutes

Learn how to perform regression analysis when you have two groups, say treatment and control, and how to test for differences between the two regression models.

10 Minutes

Regression is one of the most popular tools in statistics, but how do you know if your regression model is good? Learn how to assess the regression fit using 5 basic techniques.

11 Minutes

Knowing the scale of measurement for your data is an important aspect in choosing the right statistical tool and can help prevent mistakes. In this video, you will learn about the four types of data scales and see examples of each.

4 Minutes

If you are conducting a scientific experiment, the chances are high that you will encounter a p value or two. Learn how to correctly state your conclusions, whether your p value is below or above your cut-off.

2 Minutes

The experimental design you choose can have an enormous impact on your statistical results and research findings. You will learn the benefits and drawbacks of five experimental designs for comparing two treatments

6 Minutes