VehiclesFashionRecipesBlogsHuntTravelsSportFunHandmadeITEducation
Mini-Games
x

x
zakruti.com » Knowledge, science, education » Crash Course
The Shape of Data: Distributions: Crash Course Statistics #7

The Shape of Data: Distributions: Crash Course Statistics #7

FBTwitterReddit

video description

Rating: 4.0; Vote: 1
When collecting data to make observations about the world it usually just isn't possible to collect ALL THE DATA. So instead of asking every single person about student loan debt for instance we take a sample of the population, and then use the shape of our samples to make inferences about the true underlying distribution our data. It turns out we can learn a lot about how something occurs, even if we don't know the underlying process that causes it. Today, we-ll also introduce the normal (or bell) curve and talk about how we can learn some really useful things from a sample's shape - like if an exam was particularly difficult, how often old faithful erupts, or if there are two types of runners that participate in marathons!
Date: 2022-04-04

Comments and reviews: 10


10: 06: I think it should be mentioned here for the more mathematical-minded folks that that's a difference between what's called 'statistical probability' and 'theoretical probability', and a general principle is that statistical probability approaches the theoretical probability as the number of trials approaches infinity (which could be thought of as a limit at infinity.
reply

When you were explaining how standard deviation changes the shape of a normal distribution, shouldn't the numbers on the horizontal axis stay where they are instead of stretching and squishing with the standard deviation? Because I think that otherwise the shape of the distribution doesn't really change. Please, let me know if I'm missing something.
reply

I really enjoy these videos! My only comment/complain/concern is that a lot of your examples and expression are North American. I am from South Africa and was fortunate enough to spend a year in the USA but other English speaking people from around the world will not be able to understand expressions like lollygagging etc. Otherwise 5 star!
reply

5: 14 -age at death during the middle ages is left-skewed. cause lots of people died young. - Is -left-skewed- a slip of the tongue? Since more people died young, the median should be to the left of mean, assuming ages lie on the x-axis from 0 to 100, which gives the right-skewed distribution.
reply

5: 13 if lots of people died young during the middle ages, wouldn't that move the curve/average for -age of death- further left, thus moving the skew (tail) to the right, i. e, right skewed? Right now with the average age of death around 80, it's left skewed.
reply

What does she mean it 'generates random numbers'? and what does she mean it 'generates the number of leaves on a tree? ' does she mean the machine counts the leaves or theoretically generates the leaves? I'm in post grad and this makes no sense
reply

This is what true education of the future looks like. Simple, creative, fun to watch, highly educational, and very graphic. And a great job by Adriene Hill and the entire team for the quality of the content. Keep it up.
reply

I really like the animations in this video, especially that you can then see how changes in the data distribution affects the plot. This way it starts to make more sense to me.
reply

-4min17sec, is 'standard deviation the average distance between any point and the mean'? I thought MAD (mean absolute deviation) is the definition of that?
reply

I wonder what-s the data on school loans and high earning jobs. Do high earners pay off their student debt(early) or do they even have payments?
reply
Add a review, comment






Other channel videos