Uploaded June 2022 | Updated September 2026, 16 hours ago
This video is about two-factor analysis of variance with repeated measures. If we look at the most common types of analysis of variance, we distinguish between one-factor and two-factor analysis of variance, and on the other hand, analysis of variance without measurement repetition and with measurement repetition.
This video is about the two-factor analysis of variance with measurement repetition. This brings us right to the first question, what do I need two-factor analysis of variance with measurement repetition for? Two-factorial analysis of variance with measurement repetition tests whether there is a difference between more than two samples divided between two variables or factors.
In contrast to the two-factorial analysis of variance without repeated measures, one of the factors is created by repeated measures. So one factor is a dependent sample.
ANOVA Calculator:
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Calculate the example directly with DATAtab for free, just click the link:
numiqo.com/statistics-calculator/hypothesis-test/anova?example=two_factorial_anova_with_repeated_measures
Tutorial:
numiqo.com/tutorial/two-factorial-anova-with-repeated-measures
This video is about two-factor analysis of variance with repeated measures. If we look at the most common types of analysis of variance, we distinguish between one-factor and two-factor analysis of variance, and on the other hand, analysis of variance without measurement repetition and with measurement repetition.
This video is about the two-factor analysis of variance with measurement repetition. This brings us right to the first question, what do I need two-factor analysis of variance with measurement repetition for? Two-factorial analysis of variance with measurement repetition tests whether there is a difference between more than two samples divided between two variables or factors.
In contrast to the two-factorial analysis of variance without repeated measures, one of the factors is created by repeated measures. So one factor is a dependent sample.
ANOVA Calculator:
numiqo.com/statistics-calculator/hypothesis-test/anova
Calculate the example directly with DATAtab for free, just click the link:
numiqo.com/statistics-calculator/hypothesis-test/anova?example=two_factorial_anova_with_repeated_measures
Tutorial:
numiqo.com/tutorial/two-factorial-anova-with-repeated-measures
![Literature research [Systematic Literature Research - State of Research - Research Hypotheses]](https://i.ytimg.com/vi/DN6oChrjvT8/mqdefault.jpg "Literature research [Systematic Literature Research - State of Research - Research Hypotheses]
How do you do a systematic literature research, prepare the current state of research, develop the theoretical background and derive your research hypotheses? Well go over that in this video.
What is the goal of the Literature Research?
The goal of the literature research is to describe the current state of research, to develop the theoretical background of the thesis, and to derive the research hypotheses.
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00:17 Literature Research
00:57 Systematic Literature Research
03:12 Flow Chart Systematic Literature Research
04:09 State of Research
04:55 Find Theories
07:20 Example")
![Cox Regression [Cox Proportional Hazards Survival Regression]](https://i.ytimg.com/vi/DpZoRqqDgXA/mqdefault.jpg "Cox Regression [Cox Proportional Hazards Survival Regression]
This video is about Cox Proportional Hazards Survival Regression, or Cox Regression for short. Cox regression is used in survival analysis to determine the influence of different variables on survival time. This is done with the Cox proportional hazards model.
Cox Regression Calculator
https://numiqo.com/statistics-calculator/survival-analysis/cox-regression
All Videos:
Survival Analysis Basics: https://youtu.be/Wo9RNcHM_bs
Kaplan-Meier-Curve: https://youtu.be/L_ziqYhksG8
Log-Rank Test: https://youtu.be/FhUkDRzHdHE
Cox Regression: https://youtu.be/DpZoRqqDgXA")
![Confidence Interval [Simply explained]](https://i.ytimg.com/vi/ENnlSlvQHO0/mqdefault.jpg "Confidence Interval [Simply explained]
In statistics, parameters of the population are often estimated based on a sample, e.g. the mean or the variance. But these are only estimates and the true value in the population will lie somewhere around these estimates. Now it is of course very useful to define a range or interval in which the true value will lie with a high probability, this range is called confidence interval.
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🎓Tutorial Confidence Interval
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![Paired samples t-Test [in 49 sec.] #shorts](https://i.ytimg.com/vi/F8w8B5xAPC8/mqdefault.jpg "Paired samples t-Test [in 49 sec.] #shorts
What is the Paired samples t-Test in statistics? A simplified explanation in under a minute. (Data analytics)
The Paired Samples t Test compares the means of two measurements taken from the same individual.
#statistics #math #research #datascience #dataanalysis #thesis #stats #researcher #thesiswriting #science")
![Linear Regression vs. Logistic Regression [in 60 sec.] #shorts](https://i.ytimg.com/vi/FLmfPbP0Bac/mqdefault.jpg "Linear Regression vs. Logistic Regression [in 60 sec.] #shorts
What is the difference between linear and logistic regression? Both methods are very important in the field of machine learning. In a linear regression, the dependent variable is a metric variable, e.g. salary or electricity consumption. In a logistic regression, the dependent variable is a dichotomous variable.
#statistics #regression #research")
![Log-Rank Test [Simply Explained]](https://i.ytimg.com/vi/FhUkDRzHdHE/mqdefault.jpg "Log-Rank Test [Simply Explained]
In this video I explain the Log Rank Test. We will go through what the Log Rank Test is and how it is calculated. What is the Log Rank Test? The log rank test is used in survival time analysis and compares the distribution of time to occurrence of an event of two or more independent samples.
Log-Rank Test Calculator
https://numiqo.com/statistics-calculator/survival-analysis/cox-regression
All Videos:
Survival Analysis Basics: https://youtu.be/Wo9RNcHM_bs
Kaplan-Meier-Curve: https://youtu.be/L_ziqYhksG8
Log-Rank Test: https://youtu.be/FhUkDRzHdHE
Cox Regression: https://youtu.be/DpZoRqqDgXA")
![Descriptive Statistics [Simply explained]](https://i.ytimg.com/vi/FzujIYo9GYo/mqdefault.jpg "Descriptive Statistics [Simply explained]
In this video we are gone talk about descriptive statistics and I will explain the four key components in a simple way. Descriptive statistics aims to describe and summarize a dataset in a meaningful way. It provides a simple overview of the main characteristics of data. But it is important to note, that descriptive statistics only describe the collected data without drawing conclusions about a larger population. To describe data descriptively, we look at the four key components:
Measures of Central Tendency, Measures of Dispersion, Frequency Tables and Charts
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0:00 What is Descriptive Statistics?
0:40 What is Descriptive Statistics vs. Inferential Statistics
1:13 Measures of Central Tendency, Measures of Dispersion, Frequency Tables and Charts
1:27 What are Measures of Central Tendency?
3:58 What are Measures of Dispersion?
6:19 Measures of Central Tendency vs. Measures of Dispersion?
7:13 What are frequency table and contingency table?
9:22 Charts in Descriptive Statistics")
