![Confidence Interval [Simply explained] @numiqo](https://i.ytimg.com/vi/ENnlSlvQHO0/maxresdefault.jpg)
Uploaded January 2022 | Updated September 2026, 8 hours ago
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
► numiqo.com/statistics-book
🎓Tutorial Confidence Interval
► numiqo.com/tutorial/confidence-interval
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
► numiqo.com/statistics-book
🎓Tutorial Confidence Interval
► numiqo.com/tutorial/confidence-interval
![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")
![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
► Descriptive Statistics Calculator
https://numiqo.com/statistics-calculator/descriptive-statistics/create-frequency-table-and-crosstab?example=descriptive
► Load Data Set
https://numiqo.com/statistics-calculator/descriptive-statistics/create-frequency-table-and-crosstab?example=descriptive
► EBOOK
https://numiqo.com/statistics-book
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")
![Hypothesis [Research Hypothesis simply explained]](https://i.ytimg.com/vi/G4LPPS-8Co0/mqdefault.jpg "Hypothesis [Research Hypothesis simply explained]
What is a hypothesis? How are hypotheses formulated? And what types of And what types of hypotheses are there?
A hypothesis is an assumption or conjecture about a relationship.
For example, your hypothesis might be:
Men earn more than women in Germany.
Our goal now is to test this hypothesis.
So we want to know whether to reject or retain the hypothesis.
But what is it about null and alternative hypotheses?
Two hypotheses are always formulated, that assert the opposite.
These are called the null and alternative hypotheses.
Tutorial:
https://numiqo.com/tutorial/hypothesis
Linke to the Statistics Calculator:
https://numiqo.com/statistics-calculator/descriptive-statistics
Link to the Survey App
https://numiqo.com/survey/
00:12 What is a hypothesis?
00:58 How to formulate a hypothesis?
01:34 What is a variable?
02:25 Null and alternative hypotheses?
03:21 Different types of hypotheses
06:09 What are hypothesis tests?")
