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numiqo @UC3UwrWtAFlAkFl_3Nia756g@youtube.com

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Hi! We’re Dr. Hannah Volk-Jesussek and Dr. Mathias Jesussek,


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]