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. For a complete index of all the StatQuest videos, check out: If you'd like to support StatQuest, please consider... Patreon: ...or... YouTube Membership: ...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store... ...or just donating to StatQuest! Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter: 0:00 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