Crash Course
Bayes in Science and Everyday Life - Crash Course Statistics
Today we're going to finish up our discussion of Bayesian inference by showing you how we can it be used for continuous data sets and be applied both in science and everyday life. From A/B testing of websites and getting a better...
Crash Course
ANOVA - Crash Course Statistics
Today we're going to continue our discussion of statistical models by showing how we can find if there are differences between multiple groups using a collection of models called ANOVA. ANOVA, which stands for Analysis of Variance is...
Crash Course
Chi-Square Tests - Crash Course Statistics
Today we're going to talk about Chi-Square Tests - which allow us to measure differences in strictly categorical data like hair color, dog breed, or academic degree. We'll cover the three main Chi-Square tests: goodness of fit test, test...
Crash Course
Science Journalism - Crash Course Statistics
We’ve talked a lot in this series about how often you see data and statistics in the news and on social media - which is ALL THE TIME! But how do you know who and what you can trust? Today, we’re going to talk about how we, as consumers,...
Crash Course
Geometric Distributions and The Birthday Paradox - Crash Course Statistics
Geometric probabilities, and probabilities in general, allow us to guess how long we'll have to wait for something to happen. Today, we'll discuss how they can be used to figure out how many Bertie Bott's Every Flavour Beans you could...
SciShow
How Levitating Dust Shapes Airless Worlds
Our moon has no atmosphere, but sometimes it has visible bands of light streaking across its sky, and scientists suspect that electrostatic forces could explain this levitating dust!
Crash Course
When Predictions Succeed - Crash Course Statistics
In our series finale, we're going to take a look at some of the times we've used statistics to gaze into our crystal ball, and actually got it right! We'll talk about how stores know what we want to buy (which can sometimes be a good...
Crash Course
Regression - Crash Course Statistics
Today we're going to introduce one of the most flexible statistical tools - the General Linear Model (or GLM). GLMs allow us to create many different models to help describe the world - you see them a lot in science, economics, and...
Crash Course
Sampling Methods and Bias with Surveys - Crash Course Statistics
Today we’re going to talk about good and bad surveys. From user feedback surveys, telephone polls, and those questionnaires at your doctors office, surveys are everywhere, but with their ease to create and distribute, they're also...
Crash Course
Playing with Power P-Values Pt 3 - Crash Course Statistics
We're going to finish up our discussion of p-values by taking a closer look at how they can get it wrong, and what we can do to minimize those errors. We'll discuss Type 1 (when we think we've detected an effect, but there actually isn't...
Crash Course
You Know I’m All About that Bayes - Crash Course Statistics
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...
Crash Course
How P-Values Help Us Test Hypotheses - Crash Course Statistics
Today we're going to begin our three-part unit on p-values. In this episode we'll talk about Null Hypothesis Significance Testing (or NHST) which is a framework for comparing two sets of information. In NHST we assume that there is no...
Crash Course
P-Value Problems - Crash Course Statistics
Last week we introduced p-values as a way to set a predetermined cutoff when testing if something seems unusual enough to reject our null hypothesis - that they are the same. But today we’re going to discuss some problems with the logic...
Crash Course
Measures of Spread - Crash Course Statistics
Today, we're looking at measures of spread, or dispersion, which we use to understand how well medians and means represent the data, and how reliable our conclusions are. They can help understand test scores, income inequality, spot...
Crash Course
Charts Are Like Pasta - Data Visualization Part 1 - Crash Course Statistics
Today we're going to start our two-part unit on data visualization. Up to this point we've discussed raw data - which are just numbers - but usually it's much more useful to represent this information with charts and graphs. There are...
Crash Course
Intro to Big Data - Crash Course Statistics
Today, we're going to begin our discussion of Big Data. Everything from which videos we click (and how long we watch them) on YouTube to our likes on Facebook say a lot about us - and increasingly more and more sophisticated algorithms...
Crash Course
Confidence Intervals - Crash Course Statistics
Today we’re going to talk about confidence intervals. Confidence intervals allow us to quantify our uncertainty, by allowing us to define a range of values for our predictions and assigning a likelihood that something falls within that...
Crash Course
The Binomial Distribution - Crash Course Statistics
Today we're going to discuss the Binomial Distribution and a special case of this distribution known as a Bernoulli Distribution. The formulas that define these distributions provide us with shortcuts for calculating the probabilities of...
Crash Course
Fitting Models Is like Tetris - Crash Course Statistics
Today we're going to wrap up our discussion of General Linear Models (or GLMs) by taking a closer looking at two final common models: ANCOVA (Analysis of Covariance) and RMA (Repeated Measures ANOVA). We'll show you how additional...
Crash Course
The Normal Distribution - Crash Course Statistics
Today is the day we finally talk about the normal distribution! The normal distribution is incredibly important in statistics because distributions of means are normally distributed even if populations aren't. We'll get into why this is...
Crash Course
The Shape of Data Distributions - Crash Course Statistics
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...
Crash Course
Randomness - Crash Course Statistics
There are a lot of events in life that we just can’t predict, but just because something is random doesn’t mean we don’t know or can’t learn anything about it. Today, we’re going to talk about how we can extract information from...
Crash Course
Probability Part 1 Rules and Patterns - Crash Course Statistics
Today we’re going to begin our discussion of probability. We’ll talk about how the addition (OR) rule, the multiplication (AND) rule, and conditional probabilities help us figure out the likelihood of sequences of events happening - from...
SciShow Kids
Your Super Skeleton!
Maybe you’ve seen skeletons in museums, or in Halloween decorations, but do you know how powerful your skeleton really is? Learn some fun facts about your bones!