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14/06/2022

Two factor 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.



https://youtu.be/CE4dhRLCVMI

Cox Regression [Cox Proportional Hazards Survival Regression]This video is about Cox Proportional Hazards Survival Regre...
30/05/2022

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.



This video is about Cox Proportional Hazards Survival Regression, or Cox Regression for short. Cox regression is used in survival analysis to determine the i...

This Playlist is all about survival time analysis. We start with the question what a survival time analysis is, then we ...
18/05/2022

This Playlist is all about survival time analysis. We start with the question what a survival time analysis is, then we come to the important point what the censoring of data means and finally we discuss the Kaplan Meier Curve, the log rank test and the Cox regression.

Survival time analysis is a group of statistical methods in which the variable under study is the time until an event occurs.



This video is all about survival time analysis. We start with the question what a survival time analysis is, then we come to the important point what the cen...

Cohen's Kappa (Inter-Rater-Reliability)In this video I explain to you what Cohen's Kappa is, how it is calculated, and h...
25/04/2022

Cohen's Kappa (Inter-Rater-Reliability)

In this video I explain to you what Cohen's Kappa is, how it is calculated, and how you can interpret the results. In general, you use the Cohens Kappa whenever you want to assess the agreement between two raters. In the case of Cohen's kappa, the variable to be measured by the two rates is a nominal variable.

In this video I explain to you what Cohen's Kappa is, how it is calculated, and how you can interpret the results. In general, you use the Cohens Kappa whene...

👉 t-Test for two independent samples The independent t-Test is a statistical test that determines whether there is a dif...
06/04/2022

👉 t-Test for two independent samples
The independent t-Test is a statistical test that determines whether there is a difference between two unrelated samples.

🕕 Repeated 🕕 measures 🕕 ANOVA 🕕
09/03/2022

🕕 Repeated 🕕 measures 🕕 ANOVA 🕕



Analysis of variance with repeated measurement tests whether there are statistically significant differences in three or more dependent samples. The one-fact...

Analysis of variance with repeated measurement 🕕🕕🕕Repeated measures ANOVA tests whether there are statistically signific...
07/03/2022

Analysis of variance with repeated measurement 🕕🕕🕕
Repeated measures ANOVA tests whether there are statistically significant differences 📐 in three or more dependent samples.
The one-factor analysis of variance with repeated measures is the extension of the t-test for dependent samples for more than two groups.

Chi-Square Test [Simply explained]The chi-square test is a hypothesis test used for categorical variables with nominal o...
07/02/2022

Chi-Square Test [Simply explained]

The chi-square test is a hypothesis test used for categorical variables with nominal or ordinal measurement scale. The chi-square test checks whether the frequencies occurring in the sample differ significantly from the frequencies one would expect. Thus, the observed frequencies are compared with the expected frequencies in the Chi2-Test and their deviations are examined.



The chi-square test is a hypothesis test used for categorical variables with nominal or ordinal measurement scale. The chi-square test checks whether the fre...

Confidence Interval [Simply explained]In statistics, parameters of the population are often estimated based on a sample,...
17/01/2022

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.
https://youtu.be/ENnlSlvQHO0

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 v...

ANOVA (Analysis of variance)The ANOVA (Analysis of Variance) checks whether there are statistically significant differen...
10/01/2022

ANOVA (Analysis of variance)

The ANOVA (Analysis of Variance) checks whether there are statistically significant differences between more than two groups. For this purpose, the mean values and variances of the respective groups are compared with one another. In contrast to the t-test, which compares two groups, the analysis of variance compares more than two groups. This Video is about the One-way ANOVA without repeated measurements also called one factorial Analysis of Variance without repeated measurements



The ANOVA (Analysis of Variance) checks whether there are statistically significant differences between more than two groups. For this purpose, the mean valu...

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