In this StatQuest we learn how to calculate p-values using both discrete data (like coin tosses) and continuous data (like height measurements). At the end, we explain the differences between 1 and 2-sided p-values and why you should avoid 1-sided p-values if possible.
NOTE: This StatQuest assumes that you are already familiar with what p-values are and how to interpret them. If not, check out the quest:
p-values: What they are and how to interpret them.
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https://twitter.com/joshuastarmer0:00 Awesome song and introduction
0:58 p-value for getting two heads
6:39 p-value defined as the sum of three parts
9:30 p-value for getting four heads and 1 tails
12:31 p-values for continuous data, like how tall people are
14:31 A borderline p-value
16:59 A significant p-value
17:47 An insignificant p-value
20:12 One-sided vs two-sided p-values
24:20 Summary of concepts
#statquest #pvalue
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