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StatQuest with Josh Starmer

Statistics Fundamentals

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60 items
Last updated on Jan 25, 2023
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StatQuest: Histograms, Clearly Explained
3:42
The Main Ideas behind Probability Distributions
5:15
The Normal Distribution, Clearly Explained!!!
5:13
The mean, the median, and the mode.
0:13
The Exponential Distribution
0:16
Population and Estimated Parameters, Clearly Explained!!!
14:31
Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!!
14:22
What is a (mathematical) model?
3:45
Sampling from a Distribution, Clearly Explained!!!
3:49
Hypothesis Testing and The Null Hypothesis, Clearly Explained!!!
14:41
Alternative Hypotheses: Main Ideas!!!
9:50
p-values: What they are and how to interpret them
11:21
How to calculate p-values
25:15
p-hacking: What it is and how to avoid it!
13:45
False Discovery Rates, FDR, clearly explained
18:27
Statistical Power, Clearly Explained!!!
8:19
Power Analysis, Clearly Explained!!!
16:45
Covariance, Clearly Explained!!!
22:23
Pearson's Correlation, Clearly Explained!!!
19:13
Conditional Probabilities, Clearly Explained!!!
10:56
Bayes' Theorem, Clearly Explained!!!!
14:00
Expected Values, Main Ideas!!!
13:39
Expected Values for Continuous Variables!!!
19:44
The Binomial Distribution and Test, Clearly Explained!!!
15:47
The Central Limit Theorem, Clearly Explained!!!
7:35
The Difference Between Technical and Biological Replicates
5:27
Sample Size and Effective Sample Size, Clearly Explained!!!
6:33
Standard Deviation vs Standard Error, Clearly Explained!!!
2:52
The standard error, Clearly Explained!!!
11:44
Bootstrapping Main Ideas!!!
9:27
Using Bootstrapping to Calculate p-values!!!
8:08
Bar Charts Are Better than Pie Charts
1:45
Boxplots are Awesome!!!
2:33
Logs (logarithms), Clearly Explained!!!
15:37
Confidence Intervals, Clearly Explained!!!
6:42
R-squared, Clearly Explained!!!
11:01
The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.)
9:22
Lowess and Loess, Clearly Explained!!!
10:10
Linear Regression, Clearly Explained!!!
27:27
Linear Regression in R, Step-by-Step
5:01
Multiple Regression, Clearly Explained!!!
5:25
Multiple Regression in R, Step-by-Step!!!
7:43
Using Linear Models for t-tests and ANOVA, Clearly Explained!!!
11:38
StatQuest: Linear Models Pt.3 - Design Matrices (old version)
14:40
Bam!!! Clearly Explained!!!
2:49
StatQuickie: Thresholds for Significance
6:40
StatQuickie: Which t test to use
5:10
StatQuest:  One or Two Tailed P-Values
7:06
Quantiles and Percentiles, Clearly Explained!!!
6:30
Quantile-Quantile Plots (QQ plots), Clearly Explained!!!
6:56
Quantile Normalization, Clearly Explained!!!
4:52
Probability is not Likelihood. Find out why!!!
5:01
Maximum Likelihood, clearly explained!!!
6:12
Maximum Likelihood for the Exponential Distribution, Clearly Explained!!!
9:39
Maximum Likelihood for the Binomial Distribution, Clearly Explained!!!
11:24
Maximum Likelihood For the Normal Distribution, step-by-step!!!
19:50
Odds and Log(Odds), Clearly Explained!!!
11:31
Odds Ratios and Log(Odds Ratios), Clearly Explained!!!
16:20
Frank Starmer Clearly Explained (How my pop influenced StatQuest!!!)
6:28
Why Dividing By N Underestimates the Variance
17:15