))
Let’s Talk About Stats: Methods for Comparing Two Sets of Data
Manage episode 430355547 series 3391757
Content provided by Bitesize Bio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bitesize Bio or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
#110 — Comparing two sets of data is a fundamental process in statistical analysis, crucial for drawing meaningful conclusions across various fields. Whether it's for determining the success of an intervention, understanding market trends, or validating scientific research, the need for comparison arises.
This episode delves into the essence of data comparison, focusing on two prevalent statistical tests: the Student’s t-test and the Mann–Whitney U test. [1] Each test comes with its assumptions and applicability, making the choice between them critical depending on the nature of your data.
Read our related article to learn more about comparing multiple datasets. [2]
Resources:
1. Let’s Talk About Stats: Methods for Comparing Two Sets of Data. Available at: https://bitesizebio.com/19298/comparing-two-sets-of-data/
2. Let’s Talk About Stats: Getting the Most out of your Multiple Datasets with Post-hoc Testing. Available at: https://bitesizebio.com/19318/lets-talk-about-stats-getting-the-most-out-of-your-multiple-datasets-with-post-hoc-testing/
115 episodes
Share
