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zakruti.com » Knowledge, science, education » Crash Course
Degrees of Freedom and Effect Sizes: Crash Course Statistics #28

Degrees of Freedom and Effect Sizes: Crash Course Statistics #28

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Rating: 4.0; Vote: 1
Today we're going to talk about degrees of freedom - which are the number of independent pieces of information that make up our models. More degrees of freedom typically mean more concrete results. But something that is statistically significant isn't always practically significant. And to measure that, we'll introduce another new concept - effect size
Date: 2022-04-04

Comments and reviews: 10


Its seems weird silly and logical. The way we try to solve issues is trying to measure data and go back and change things until we see some change. This is how a dumb computer tries to do things. however we have powers of awareness that can improve things. i. e. we should be looking at outliers looking for reasons why something has or hasn't worked. i. e looking for variables. I guess variables are degrees of freedom too? we keep changing variables until we see better p and effect sizes. that leads to some understanding. I guess this is what machine learning is doing well.
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Until here it was excellent! Perfectly scripted. However here using large complicated numbers made it hard for me to digest the concept. My brain tried to place those long digit numbers in a formula while trying to understand the concept. Maybe simpler examples could help those like me, people with low IQ with maths. Though using bee sample is really genius.
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-10: 17 Any person knows why the denominator is (s1-2+s2-2)/2, different from the pooled variance from the two-sample t-test? Why is the variation divided only by 2? Is it just the case that Effect size use the different denominator than the two-sample t-test?
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Ok, first half of the video I didn't get anything (as always, but when they started to talk about how practical significance is just as important as statistical significance and stuff, then I went: -Oh, so that's what you're talking about! - xD
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Best explanation of the topic. Bees example is a killer one and also the Credit Card example. I wish we had such brilliant teachers at grass root level, so that maths does not feel boring and hard. Thank you entire team of Crash course.
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Its sounds as though each resource has all degrees of freedom until which they are assigned. so degrees of freedom is not intrinsic, but yeah in order to do something useful we must forego that freedom.
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I hope you discuss ANOVA in the future. First time I understood degrees of freedom.
Also it would be really cool if crash course website had some work sheet excercises for these topics.

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You might not need both other pieces since it's a credit card number. Those numbers have a Luhn checksums on them so one of the digits is completely determined by the others.
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Appreciations for a very nice initiative by introducing dialogue box which will help a lot in depicting what you all actually want to convey. many times.
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This is an awesome series! Explains so much! I am surprised it's not more popular because this knowledge is much in demand on the job market.
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