Statistical significance is a concept used in hypothesis testing to determine whether an observed difference or relationship between variables is unlikely to have occurred by chance alone. It indicates the likelihood that the observed result is not due to random variation in the data but represents a true effect or relationship. Statistical significance is typically assessed using hypothesis tests, such as t-tests, chi-square tests, or ANOVA, which compare observed data to null hypotheses.

Is it real or just random? Statistical Significance helps you figure out if your results are meaningful. 🧮🔬 #StatisticalSignificance #Research #DataScience

For more mental models, please visit www.mentalmodelsdaily.com

Get the full list at https://tinyurl.com/mentalmodelsdaily

Follow us:

X: @mindmodelsdaily https://x.com/mindmodelsdaily

Instagram: @mentalmodelsdaily https://www.instagram.com/mentalmodelsdaily/

Youtube: https://www.youtube.com/@MentalModelsDaily/podcasts

Spotify: https://open.spotify.com/show/1f0qi12saeBEJmtnjOSszg

Amazon Music: https://music.amazon.co.uk/podcasts/6da552cf-1714-45ce-b302-7c6c69386fc3/mental-models-daily

Apple Podcasts: https://podcasts.apple.com/gb/podcast/mental-models-daily/id1754257683

Castbox: https://castbox.fm/channel/Mental-Models-Daily-id6203840?country=us

iHeartRadio: https://www.iheart.com/podcast/269-mental-models-daily-189536773/

Our Podcast music was provided by The Podcast Host and Alitu: The Podcast Maker app.