How to Prepare Your Data for Analysis

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