This video explains Statistical Significance in simple language.

"A study's result is statistically significant," is a phrase you've likely heard someone use while discussing scientific research. But what exactly does that mean?

What calculation is behind statistical significance, and when is it helpful?

In this video, you will find answers to these questions, and more.

I will also explain how statistical significance can deceive us - if we forget what can not tell us.

This knowledge will empower you to critically review scientific studies and their results, allowing you to judge whether the arguments made are actually robust.

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00:00 Intro
00:47 Statistical Significance
02:09 Statistical Significance and Sample Size
03:32 Mathematical Figures
05:33 Student's t-Test
09:02 Summary

Firstly, let's distinguish between 'significance' in everyday language and 'statistical significance.' We usually call something significant if it's large or noteworthy.

However, 'statistically significant' doesn't necessarily imply importance. Indeed, a statistically significant result can be quite minor and inconsequential in some cases.

Statistical significance becomes relevant when we use statistical methods to analyze quantitative datasets, especially to check if there's a potential effect between two variables.

Imagine conducting an experiment where we manipulate one variable (like giving people a dietary supplement) and observe its effect on another (such as their training endurance).

If we find this effect to be statistically significant, it's time to celebrate and head home, right? Well, it's not that straightforward, but more on that later.

Statistical significance helps us determine the likelihood of a measurement result occurring by chance versus indicating a real effect.

If we deem a result statistically significant, it suggests that the result from the analysis of our sample might also apply to a wider population.

This video is about:
Statistical Significance, Statistical Significance explained, Statistical Significance example, Statistical Significance meaning, Statistical Significance p value, Statistical Significance testing, Statistical Significance
in research


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