playlistduration

Statistics Fundamentals

by StatQuest with Josh Starmer · 62 videos

Total watch time

10h 47m

at 1× speed · exactly 10 hours, 47 minutes at 1×

1×10h 47m
1.25×8h 37m 36s
1.5×7h 11m 20s
1.75×6h 9m 43s
2×5h 23m 30s
Average video10m 26s
Longest32m 1s
Shortest13s
Compare Open on YouTube JSON

Plan to finish

About 11 days at an hour a day

Pick a daily pace and the days you'll watch. Ticked videos are skipped.

Days

At one hour a day, every day, this playlist takes about 11 days. Turn on JavaScript to plan around your week.

Videos (62)

10h 47m in total · tick what you've watched

Tick videos you've watched — progress is saved in this browser.

Videos to
Watched
1 StatQuest: Histograms, Clearly Explained 3:42 2017-09-25
2 The Main Ideas behind Probability Distributions 5:15 2017-04-17
3 The Normal Distribution, Clearly Explained!!! 5:13 2017-10-09
4 The mean, the median, and the mode. 0:13 2022-01-14
5 The Exponential Distribution 0:16 2022-01-14
6 Population and Estimated Parameters, Clearly Explained!!! 14:31 2019-07-01
7 Calculating the Mean, Variance and Standard Deviation, Clearly Explained!!! 14:22 2019-07-15
8 What is a (mathematical) model? 3:45 2017-07-17
9 Hypothesis Testing and The Null Hypothesis, Clearly Explained!!! 14:41 2020-07-06
10 Alternative Hypotheses: Main Ideas!!! 9:50 2020-07-06
11 p-values: What they are and how to interpret them 11:21 2020-03-23
12 Fisher's Exact Test and the Hypergeometric Distribution 5:15 2017-03-13
13 How to calculate p-values 25:15 2020-03-23
14 p-hacking: What it is and how to avoid it! 13:45 2020-05-04
15 False Discovery Rates, FDR, clearly explained 18:27 2026-06-08
16 Statistical Power, Clearly Explained!!! 8:19 2020-05-04
17 Power Analysis, Clearly Explained!!! 16:45 2020-05-04
18 Covariance, Clearly Explained!!! 22:23 2019-07-29
19 Pearson's Correlation, Clearly Explained!!! 19:13 2019-08-05
20 Conditional Probabilities, Clearly Explained!!! 10:56 2021-07-21
21 Bayes' Theorem, Clearly Explained!!!! 14:00 2021-08-16
22 Expected Values, Main Ideas!!! 13:39 2021-03-29
23 Expected Values for Continuous Variables!!! 19:44 2021-06-22
24 The Binomial Distribution and Test, Clearly Explained!!! 15:47 2018-08-06
25 The Central Limit Theorem, Clearly Explained!!! 7:35 2018-09-03
26 The Difference Between Technical and Biological Replicates 5:27 2017-10-09
27 Sample Size and Effective Sample Size, Clearly Explained!!! 6:33 2017-10-23
28 Standard Deviation vs Standard Error, Clearly Explained!!! 2:52 2017-03-20
29 The standard error, Clearly Explained!!! 11:44 2015-05-12
30 Bootstrapping Main Ideas!!! 9:27 2021-07-06
31 Using Bootstrapping to Calculate p-values!!! 8:08 2021-07-13
32 Bar Charts Are Better than Pie Charts 1:45 2017-02-27
33 Boxplots are Awesome!!! 2:33 2017-07-11
34 Logs (logarithms), Clearly Explained!!! 15:37 2017-02-23
35 Confidence Intervals, Clearly Explained!!! 6:42 2015-07-09
36 R-squared, Clearly Explained!!! 11:01 2015-02-03
37 The Essence of Linear Regression!!! 32:01 2026-05-18
38 The Main Ideas of Fitting a Line to Data (The Main Ideas of Least Squares and Linear Regression.) 9:22 2017-05-22
39 Lowess and Loess, Clearly Explained!!! 10:10 2017-06-05
40 Linear Regression, Clearly Explained!!! 27:27 2022-11-18
41 Linear Regression in R, Step-by-Step 5:01 2017-07-25
42 Multiple Regression, Clearly Explained!!! 5:25 2017-10-30
43 Multiple Regression in R, Step-by-Step!!! 7:43 2017-10-30
44 Using Linear Models for t-tests and ANOVA, Clearly Explained!!! 11:38 2017-08-07
45 Design Matrices For Linear Models, Clearly Explained!!! 14:40 2019-01-08
46 Sampling from a Distribution, Clearly Explained!!! 3:49 2017-05-08
47 Bam!!! Clearly Explained!!! 2:49 2020-04-01
48 StatQuickie: Thresholds for Significance 6:40 2017-02-22
49 StatQuickie: Which t test to use 5:10 2017-03-06
50 StatQuest: One or Two Tailed P-Values 7:06 2017-04-24
51 Quantiles and Percentiles, Clearly Explained!!! 6:30 2017-11-06
52 Quantile-Quantile Plots (QQ plots), Clearly Explained!!! 6:56 2017-11-13
53 Quantile Normalization, Clearly Explained!!! 4:52 2017-11-20
54 In Statistics, Probability is not Likelihood. 5:01 2018-03-09
55 Maximum Likelihood, clearly explained!!! 6:12 2017-07-31
56 Maximum Likelihood for the Exponential Distribution, Clearly Explained!!! 9:39 2018-07-30
57 Maximum Likelihood for the Binomial Distribution, Clearly Explained!!! 11:24 2018-08-13
58 Maximum Likelihood For the Normal Distribution, step-by-step!!! 19:50 2018-09-10
59 Odds and Log(Odds), Clearly Explained!!! 11:31 2018-05-07
60 Odds Ratios and Log(Odds Ratios), Clearly Explained!!! 16:20 2018-06-21
61 Frank Starmer Clearly Explained (How my pop influenced StatQuest!!!) 6:28 2021-09-04
62 Why Dividing By N Underestimates the Variance 17:15 2019-07-15

Embed a badge

Show the watch time in a README or course description — it links back here and updates itself

Watch time: 10h 47m · 62 videos

Markdown
[![Watch time: 10h 47m · 62 videos](https://playlistduration.com/badge/playlist/PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9.svg)](https://playlistduration.com/playlist/PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9)
HTML
<a href="https://playlistduration.com/playlist/PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9"><img src="https://playlistduration.com/badge/playlist/PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9.svg" alt="Watch time: 10h 47m · 62 videos" width="210" height="20"></a>

Add ?speed=1.5 to the image URL for the time at that speed, ?label=Course to change the left text, or ?style=flat-square for square corners.

Want the numbers themselves? GET https://playlistduration.com/api/v1/playlist/PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9 returns them as JSON — free, no key. API docs →

Data from the YouTube Data API as of 2026-09-22 (cached). Private or deleted videos are excluded from totals.