![t-test for dependent samples [in 60 sec.] #shorts @numiqo](https://i.ytimg.com/vi/ByST3w5PebI/maxresdefault.jpg)
Uploaded February 2023 | Updated September 2026, 2 hours ago
t-test for dependent samples (paired samples t test) #datascience #dataanalysis #stats #research #machinelearning #datatab #statistics #dataanalytics
t-test for dependent samples (paired samples t test) #datascience #dataanalysis #stats #research #machinelearning #datatab #statistics #dataanalytics
![t-test for dependent samples [in 60 sec.] #shorts](https://i.ytimg.com/vi/ByST3w5PebI/mqdefault.jpg "t-test for dependent samples [in 60 sec.] #shorts
t-test for dependent samples (paired samples t test) #datascience #dataanalysis #stats #research #machinelearning #datatab #statistics #dataanalytics")
![Logistic Regression [Simply explained]](https://i.ytimg.com/vi/C5268D9t9Ak/mqdefault.jpg "Logistic Regression [Simply explained]
What is a Logistic Regression? How is it calculated? And most importantly, how are the logistic regression results interpreted? In a logistic regression, the dependent variable is a dichotomous variable. Dichotomous variables are variables with only two values. For example: Whether a person buys or does not buy a particular product. Logistic regression is very often used in machine learning.
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https://numiqo.com/statistics-calculator/regression?example=Medical_example_logistic_regression
► Online Logistic Regression Calculator
https://numiqo.com/statistics-calculator/regression
►Tutorial Logistic Regression
https://numiqo.com/tutorial/logistic-regression
► E-BOOK
https://numiqo.com/statistics-book
00:00 What is a Regression
00:45 Difference between Linear Regression and Logistic Regression
01:24 Example Logistic Regression
02:23 Why do we need Logistic Regression?
03:31 Logistic Function and the Logistic Regression equation
05:01 How to interpret the results of a Logistic Regression?
07:58 Logistic Regression: Results Table
08:21 Logistic Regression: Classification Table
09:19 Logistic Regression: and Chi Square Test
10:22 Logistic Regression: Model Summary
11:24 Logistic Regression: Coefficient B, Standard error, p-Value and odds Ratio
13:56 ROC Curve (receiver operating characteristic curve)
#statistics")
![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.
Linke to the Statistics Calculator:
https://numiqo.com/statistics-calculator/descriptive-statistics
Link to the Survey App
https://numiqo.com/survey/
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.
📖 E-BOOK
► https://numiqo.com/statistics-book
🎓Tutorial Confidence Interval
► https://numiqo.com/tutorial/confidence-interval")
![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")
