Week 1 - Probability Review
Overview
Welcome to Week 1! Our goal this week is to (1) help us sort out our varying technologies and workflows and (2) start reviewing statistics and probability. Basically, this the start of a three-week mini-bootcamp to get us ready for the glorious world of regressions!1
What you should do for this three-week unit depends on your background:
Reading Guide for Week 1
Chapter 2.1-2.4: Review of Probability
This is the material you should already know, along with supports from Khan Academy ( ). Remember that you don’t need to memorize formulas! Note that most links take you a direct video, but there are also relevant videos in the accompanying playlist.
SW 2.1 Random Variables and Probability Distributions
- Introduction to random variables and probability distributions variables (entire playlist, starting with “Constructing a probability distribution for a random varible”)
- Mean and standard deviation of random variables (entire playlist)
- Conditional probability (entire playlist)
SW 2.2 Expected Values, Mean, and Variance
- You only need a general knowledge of kurtosis and skew.
- Transforming random variables (entire playlist, just 3 videos)
SW 2.3 Two Random Variables
- Law of iterated expectations can be skimmed
- Make sure that you’re good with key concept box 2.3!
- Combining random variables (entire playlist)
SW 2.4 The Normal, Chi-Squared, Student t, and F distributions
- Normal distribution only,
but we’ll discuss t-distributions a little bit. We won’t use chi-squared, and we’ll come back to F-distributions later. For any work we’ll be doing, our sample sizes will be greater than 100, so . - Z-scores (entire playlist)
- Normal distributions and the empirical rule not explicitly covered, but extremely useful review for intuition
- Normal distribution calculations (entire playlist, walks through all the possible ways of working w/ normal tables)
- Note that if you’re relying on the videos I’ve posted below, they do not cover this section
Videos
Note that there is no pre-recorded coverage of normal distributions
Sorry that the audio is bit fuzzy at the beginning - I was still learning!
Aside: This unit will pull from lots of resources. Things will be simpler once we get to chapter 4 and onward↩︎