• Let’s Talk About Stats: Methods for Comparing Two Sets of Data

  • Jul 23 2024
  • Length: 5 mins
  • Podcast

Let’s Talk About Stats: Methods for Comparing Two Sets of Data By cover art

Let’s Talk About Stats: Methods for Comparing Two Sets of Data

Listen for free

View show details

  • Summary

  • #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/
    Show more Show less
activate_primeday_promo_in_buybox_DT
Biological Sciences
Show more Show less

What listeners say about Let’s Talk About Stats: Methods for Comparing Two Sets of Data

Average customer ratings

Reviews - Please select the tabs below to change the source of reviews.

Audible.com reviews

Amazon reviews
No Reviews are Available