09:13

Fleiss’ Kappa: Measuring agreement between more than two raters

10:36

Cohen’s Kappa: Measuring Agreement

06:43

Maximum Likelihood Estimation: A Beginner's Intuitive Walkthrough

13:49

Process Capability Analysis Explained (Cp, Cpk, Pp, Ppk)

16:08

What is a Measurement System Analysis - Gage R&R?

12:26

t-Test Explained Simply: What It Is, When to Use It, and How to Read the Results

04:19

Online Statistics Calculator - Get Started - Numiqo

07:28

What is the p-value and how is it correctly interpreted?

08:58

What are the degrees of freedom in statistics?

06:21

Standard Error (SE) Explained — and how it differs from Standard Deviation.

09:55

Why two Formulas for Standard Deviation? When and Why use n vs. n−1.

04:51

Can we simply say that the standard deviation is the mean of the deviations from the mean?

03:38

We will be renaming soon...

13:11

ANCOVA (Analysis of Covariance): A Mix of ANOVA and Regression

07:04

xBar-R Chart (Statistical process control)

10:47

Paired Samples t-Test

05:50

Multicolinarity - An Easy and Clear Beginner’s Guide

08:00

Wilcoxon Test (Wilcoxon signed-rank test) — Simply explained

06:39

Best Data Science YouTube Channels - Your Recommendations

05:23

What are Dummy Variables in Regression?

04:55:09

Statistics - A Full Lecture to learn Data Science (2025 Version)

05:45

Best YouTube Channels to learn Statistics

01:09:13

Regression Analysis | Full Course 2025

21:31

Logistic Regression: An Easy and Clear Beginner’s Guide

26:01

Multiple Linear Regression: An Easy and Clear Beginner’s Guide

13:55

Simple Linear Regression: An Easy and Clear Beginner’s Guide

07:31

Regression Analysis: An Easy and Clear Beginner’s Guide

12:10

Mastering Odds Ratios in Logistic Regression – A Step-by-Step Guide

20:35

The New Statistics: A Modern Approach to Data Analysis

10:50

Learn Correlation Analysis Fast – 90% of What You Need in Under 11 Minutes

56:49

ANOVA - A Full Lecture to learn Analysis of Variance

10:56

Confidence Interval: The right and wrong way to understand them.

13:01

Types of Data in Statistics - Nominal, Ordinal, Interval, and Ratio

14:14

One-Way ANOVA [Analysis of Variance] simply explained

17:03

80% of Regression Analysis Basics in under 18 Minutes [Simple, Multiple and Logistic Regression]

11:29

When not to use the t-test! 3 Scenarios Where the T-Test Fails...

11:04

Control Charts simply explained - Statistical process control - Xbar-R Chart, I-MR Chart,...

20:08

Why the p-Value fell from Grace: A Deep Dive into Statistical Significance

04:15:27

Statistics - A Full Lecture to learn Data Science

12:42

Levels of Measurement - Nominal, Ordinal, Interval and Ratio

14:13

Repeated Measures ANOVA (Analysis of Variance) - Simply explained

14:08

z-Score, z-Standardization, Standard Normal Distribution, z-Distribution Table - Simply explained

07:22

What is the difference between parametric and nonparametric hypothesis testing?

09:58

What is Descriptive Statistics? A Beginner's Guide to Descriptive Statistics!

08:07

What is a hypothesis test? A beginner's guide to hypothesis testing!

20:21

What is Statistics? A Beginner's Guide to Statistics (Data Analytics)!

12:54

Fractional Factorial Design (DoE) Simply explained

08:27

Between-Subject Design vs. Within-Subject Design

11:32

Mixed Model ANOVA (Analysis of Variance) Simply explained

14:23

Full Factorial Design (DoE - Design of Experiments) Simply explained

25:53

Design of Experiments (DoE) simply explained

07:45

What is inferential statistics? Explained in 6 simple Steps.

08:06

Two-Way ANOVA - all Equations - calculated by Hand

03:10

Standard Deviation, Variance, Range and Interquartile Range - Measures of dispersion

03:25

Mean, Median and Mode - Measures of Central Tendency

11:10

Descriptive Statistics [Simply explained]

08:01

How to calculate a Chi-Square Test?

03:19

What is a Raincloud Plot? [Simply explained]

03:45

Violin Plot [Simply explained]

05:35

Bland-Altman Plot [Simply explained]