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You Know I'm All About that Bayes: Crash Course Statistics #24
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Today we’re going to talk about Bayes Theorem and Bayesian hypothesis testing. Bayesian methods like these are different from how we've been approaching statistics so far, because they allow us to update our beliefs as we gather new information - which is how we tend to think naturally about the world. And this can be a really powerful tool, since it allows us to incorporate both scientifically rigorous data AND our previous biases into our evolving opinions.

CORRECTION: At the righthand side of the equation should not have P()'s, it should just be the raw numbers.

Subject:
Mathematics
Statistics and Probability
Material Type:
Lecture
Provider:
Complexly
Provider Set:
Crash Course Statistics
Date Added:
07/25/2018
Z-Scores and Percentiles: Crash Course Statistics #18
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Today we’re going to talk about how we compare things that aren’t exactly the same - or aren’t measured in the same way. For example, if you wanted to know if a 1200 on the SAT is better than the 25 on the ACT. For this, we need to standardize our data using z-scores - which allow us to make comparisons between two sets of data as long as they’re normally distributed. We’ll also talk about converting these scores to percentiles and discuss how percentiles, though valuable, don’t actually tell us how “extreme” our data really is.

Subject:
Mathematics
Statistics and Probability
Material Type:
Lecture
Provider:
Complexly
Provider Set:
Crash Course Statistics
Date Added:
05/30/2018