These videos give you a general overview of statistics as well as a be a reference for statistical concepts.
Aulas do Curso
(62 vídeos)
0 de 62 aulas concluídas
0%
Progresso salvo somente neste navegador.
0
StatQuest: Histograms, Clearly Explained
Histograms are one of the most basic statistical tools that we have. They are also one of the most powerful and most fre…
1
The Main Ideas behind Probability Distributions
Here we demystify what a probability distribution is. It's not complicated, and we'll build on this in the coming weeks.…
2
The Normal Distribution, Clearly Explained!!!
The normal, or Gaussian, distribution is the most common distribution in all of statistics. Here I explain the basics of…
3
The mean, the median, and the mode.
Support StatQuest by buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroa…
4
The Exponential Distribution
Support StatQuest by buying my book, The StatQuest Illustrated Guide to Machine Learning:
PDF - https://statquest.gumroa…
5
Population and Estimated Parameters, Clearly Explained!!!
One of the most basic and most important thing we can do in statistics is estimate population parameters. This video exp…
6
Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!
One of the most basic things we do all the time in Data Analysis (i.e. Statistics, Machine Learning or any other sort of…
7
What is a (mathematical) model?
"Model" is a vague term that means different things in different contexts. Here I clear it all up in the context of stat…
8
Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!
One of the most basic concepts in statistics is hypothesis testing and something called The Null Hypothesis. This video …
9
Alternative Hypotheses: Main Ideas!!!
In Statistics, when we do Hypothesis Testing, we are supposed to have two hypotheses: A primary, or Null Hypothesis and …
10
p-values: What they are and how to interpret them
This StatQuest is all about interpreting p-values. You've seen them online or in publications, or heard about them, whis…
11
Fisher's Exact Test and the Hypergeometric Distribution
Fisher's exact test to determine if something is enriched or not. In this case, I wonder if I got an over abundance of b…
12
How to calculate p-values
In this StatQuest we learn how to calculate p-values using both discrete data (like coin tosses) and continuous data (li…
13
p-hacking: What it is and how to avoid it!
p-hacking is the misuse and abuse of p-values and results in being fooled by false positives. Some forms of p-hacking ar…
14
False Discovery Rates, FDR, clearly explained
One of the best ways to prevent p-hacking is to adjust p-values for multiple testing. This StatQuest explains how the Be…
15
Statistical Power, Clearly Explained!!!
Statistical Power is one of those things that sounds so fancy and, well, "Powerful", but it's actually a really simple c…
16
Power Analysis, Clearly Explained!!!
If you're doing an experiment, a Power Analysis is a must. It ensures reproducibility by helping you avoid p-hacking and…
17
Covariance, Clearly Explained!!!
Covariance is one of those statistical terms that you might have heard before but didn't quite understand. It sounds fan…
18
Pearson's Correlation, Clearly Explained!!!
Correlation is one of the most basic statistical measures of how two different things might be related, which means it i…
19
Conditional Probabilities, Clearly Explained!!!
One the most fundamental concepts in Probability, Statistics and Bayesian Statistics is Conditional Probability. In this…
20
Bayes' Theorem, Clearly Explained!!!!
Bayes' Theorem is the foundation of Bayesian Statistics. This video was you through, step-by-step, how it is easily deri…
21
Expected Values, Main Ideas!!!
Expected values are part of the foundation of statistics and the reason why casinos don't go out of business all the tim…
22
Expected Values for Continuous Variables!!!
If you ever muck around in statistics, it's not long before you see E(x) = something. These are expected values. Expecte…
23
The Binomial Distribution and Test, Clearly Explained!!!
The binomial distribution and the related statistical test look really complicated, but a actually quite simple. Here I …
24
The Central Limit Theorem, Clearly Explained!!!
The Central Limit Theorem is a big deal, but it's easy to understand. Here I show you what it is, then I describe why th…
25
The Difference Between Technical and Biological Replicates
You can't do statistics without replication and in the biological sciences, there are two main types of replication: tec…
26
Sample Size and Effective Sample Size, Clearly Explained!!!
The sample size for an experiment depends on what you want to say and what kind of replicates you have. This StatQuest s…
27
Standard Deviation vs Standard Error, Clearly Explained!!!
People often confuse the standard deviation and the standard error. This StatQuest clears it all up!
For more informati…
28
The standard error, Clearly Explained!!!
This StatQuest explains what the standard error is and then it shows how it can be calculated with bootstrapping.
Ther…
29
Bootstrapping Main Ideas!!!
Bootstrapping is one of the simplest, yet most powerful methods in all of statistics. It provides us an easy way to get …
30
Using Bootstrapping to Calculate p-values!!!
Bootstrapping give us an easy way to calculate p-values for just about anything - no fancy math required! In this StatQu…
31
Bar Charts Are Better than Pie Charts
Pie and bar charts can show the same data, but bar charts do it way better.
For a complete index of all the StatQuest v…
32
Boxplots are Awesome!!!
Boxplots are Awesome!!! Don't believe me? Check out the 'Quest.
For a complete index of all the StatQuest videos, check…
33
Logs (logarithms), Clearly Explained!!!
Here's a little video to help you bone up on logs. Logs are used all over statistics, so it's good to have a solid under…
34
Confidence Intervals, Clearly Explained!!!
Confidence Intervals can be confusing, but with bootstrapping, they are a piece of cake. BAM!
For a complete index of a…
35
R-squared, Clearly Explained!!!
R-squared is one of the most useful metrics in statistics. It can give you a sense of how good your model is.
For a com…
36
The Essence of Linear Regression!!!
This StatQuest takes you through basic linear regression, step-by-step, explaining both the method and the motivation be…
37
The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)
Fitting a line to data is actually pretty straightforward.
For a complete index of all the StatQuest videos, check out:…
38
Lowess and Loess, Clearly Explained!!!
If you can fit a line, you can fit a curve! I've even got example R code on the StatQuest GitHub:
https://github.com/Sta…
39
Linear Regression, Clearly Explained!!!
The concepts behind linear regression, fitting a line to data with least squares and R-squared, are pretty darn simple, …
40
Linear Regression in R, Step-by-Step
This video, which walks you through a simple regression in R, is a companion to the StatQuest on Linear Regression http…
41
Multiple Regression, Clearly Explained!!!
This video directly follows part 1 in the StatQuest series on General Linear Models (GLMs) on Linear Regression https://…
42
Multiple Regression in R, Step-by-Step!!!
This StatQuest is a companion to the StatQuest on Multiple Regression https://youtu.be/zITIFTsivN8 It starts with a simp…
43
Using Linear Models for t-tests and ANOVA, Clearly Explained!!!
This StatQuest shows how the methods used to determine if a linear regression is statistically significant (covered in p…
44
Design Matrices For Linear Models, Clearly Explained!!!
In order to use general linear models (GLMs) you need to create design matrices. At first, these can seem intimidating, …
45
Sampling from a Distribution, Clearly Explained!!!
What does it mean to sample from a distribution and why would anyone ever do it? Find out by watching.
For a complete i…
46
Bam!!! Clearly Explained!!!
This StatQuests demystifies one of the most complicated terms in all of statistics and machine learning, BAM!!! We'll wa…
47
StatQuickie: Thresholds for Significance
People often ask me what a good threshold is for statistical significance. The answer is always, "It depends!"
For a co…
48
StatQuickie: Which t test to use
tl;dw - unless you've got paired data (explained in the video) use a two-tailed t-test that does not assume equal varian…
49
StatQuest: One or Two Tailed P-Values
People ask me all the time if they should use a one or two-tailed p-values. Unless you are an expert and really know wha…
50
Quantiles and Percentiles, Clearly Explained!!!
Although there is a ton of conflicting information about quantiles and percentiles on the internet, this StatQuest filte…
51
Quantile-Quantile Plots (QQ plots), Clearly Explained!!!
Quantile-Quantile (QQ) plots are used to determine if data can be approximated by a statistical distribution. For exampl…
52
Quantile Normalization, Clearly Explained!!!
Quantile Normalization lets us compare data that has all kinds of noise in it. It sounds fancy but is really super simpl…
53
In Statistics, Probability is not Likelihood.
NOTE: This video was originally made as a follow up to an overview of Maximum Likelihood https://youtu.be/XepXtl9YKwc . …
54
Maximum Likelihood, clearly explained!!!
If you hang out around statisticians long enough, sooner or later someone is going to mumble "maximum likelihood" and ev…
55
Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!
This StatQuest shows you how to calculate the maximum likelihood parameter for the Exponential Distribution.
This is a f…
56
Maximum Likelihood for the Binomial Distribution, Clearly Explained!!!
Calculating the maximum likelihood estimate for the binomial distribution is pretty easy! This StatQuest takes you throu…
57
Maximum Likelihood For the Normal Distribution, step-by-step!!!
Calculating the maximum likelihood estimates for the normal distribution shows you why we use the mean and standard devi…
58
Odds and Log(Odds), Clearly Explained!!!
The odds aren't as odd as you might think, and the log of the odds is even simpler! This StatQuest covers those subjects…
59
Odds Ratios and Log(Odds Ratios), Clearly Explained!!!
Odds Ratios and Log(Odds Ratios) are like R-Squared - they describe a relationship between two things. And just like R-S…
60
Frank Starmer Clearly Explained (How my pop influenced StatQuest!!!)
Today my pop turns 80!!! Happy Birthday pop! My pop had a huge impact on me and StatQuest and I want everyone to know ho…
61
Why Dividing By N Underestimates the Variance
This is the follow up video to:
Statistics Fundamentals: The Mean, Variance and Standard Deviation
https://youtu.be/SzZ6…