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What is Statistics? A Beginner's Guide to Statistics (Data Analytics)!

Автор: numiqo

Загружено: 2024-02-18

Просмотров: 229157

Описание: If you want to finally understand statistics, this is the place to be! After this video, you will know what statistics is, what descriptive statistics is and what inferential statistics is. Statistics is the science of collecting, analyzing, interpreting, and presenting data. Statistics is integral to various fields, including business, economics, engineering, medicine, social sciences, and natural sciences, among others. It encompasses a wide range of techniques and processes for dealing with data, including:

Descriptive Statistics: This branch focuses on summarizing and describing the features of a dataset through measures such as mean, median, mode, and standard deviation, as well as through graphs and charts. It aims to provide a clear overview of the data without making inferences about a larger population.

Inferential Statistics: This branch uses samples of data to make generalizations or predictions about a larger population. It includes hypothesis testing, confidence intervals, regression analysis, and analysis of variance. Inferential statistics allows researchers to draw conclusions beyond the immediate data, estimating population parameters and testing hypotheses.


► Statistics Calculator
https://numiqo.com/statistics-calcula...

► EBOOK
https://numiqo.com/statistics-book

► Tutorial
https://numiqo.com/tutorial/descripti...

► Example dataset
https://numiqo.com/statistics-calcula...

--- Videos --

► Standard Deviation and Variance
   • Standard Deviation and Variance  

► Box-Plot
   • Box-Plot (Simply explained and create online)  

► Violin Plot
   • Violin Plot [Simply explained]  

► Raincloud Plot
   • What is a Raincloud Plot? [Simply explained]  

► t-Test
   • t-Test - Full Course - Everything you need...  

0:00 What is Statistics?
2:24 What is Descriptive Statistics?
12:12 What is Inferential Statistics?

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What is Statistics? A Beginner's Guide to Statistics (Data Analytics)!

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