Probability notation. Yolo! Jk. This video introduces you to a few of the symbols and weird letters that you may be confused by in your homework -- like "|" -- and tells you what they're called so that you can look up those terms in other videos.
Probabilities Always Add Up To 1
The title say it all, almost. This video explains why things add up to 1, and also how to use that to your advantage when calculating probability for harder situations, like "at least one" and "complementary" situations in stats.
Probability Using Empirical Method (a.k.a. Empirical Approximation)
This is like the 5th video in Stats to have the word "empirical" in the title, but that's bound to happen since "empirical" is the word that statisticians use to make "ballparking it" sound more official. Just guessing? Call it empirical, that's the ticket!
Classical Probability Calculations
Flip three coins, how often are two flips heads? Roll two dice, what's the odds of them adding up to seven? This video covers how to do "classic" probability problems involving coin flips, dice rolls, drawing cards out of a deck, raffle tickets, and other random, equally probable outcomes.
Tree Diagrams (Probability)
Tree diagrams for probabilities are those crazy branching messes that allow you to carefully list out all the possible outcomes (and their probabilities) of: flipping a coin three times, rolling two dice, etc. Also covered: how to use this when you're using a weighted coin!
Law of Large Numbers & 80-20 Rule
Only the Law of Large Numbers will actually be covered in your Stats class, but both it and the 80/20 rule transcend Stats, as well as space and time. You'll see both referred to in all kinds of crazy situations, so I tacked on the 80/20 rule so you can drop that in class and earn brownie points with your prof.
If you do not have an account, you should get one, because it is awesome! You can save a playlist for each test or each chapter, and save your "greatest hits" into a "watch right before the final" list (not that we recommend cramming, but when in Rome...)