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Descriptive vs Inferential Statistics: What’s the Difference?

Analytics Vidhya

Statistics involves gathering and organizing raw data into an easily understandable format. There are two broad categories of statistical methods: descriptive and inferential statistics. This article will explain the difference between descriptive vs inferential statistics. appeared first on Analytics Vidhya.

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Statistical Inference Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Applying statistical analysis to data and getting insights from it is our main objective. The post Statistical Inference Using Python appeared first on Analytics Vidhya. The post Statistical Inference Using Python appeared first on Analytics Vidhya.

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Statistical Effect Size and Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction One of the most important applications of Statistics is looking into how two or more variables relate. The post Statistical Effect Size and Python Implementation appeared first on Analytics Vidhya.

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Introduction to Statistics Using the R Programming Language

Analytics Vidhya

From foundational concepts to advanced techniques, this article is your comprehensive guide. Whether you’re delving into descriptive statistics, probability distributions, or sophisticated regression models, R’s versatility and extensive packages facilitate seamless statistical exploration.

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Frequentist vs Bayesian Statistics in Data Science

Analytics Vidhya

Introduction Statistical analysis plays a crucial role in the fast-developing field of data science, enabling researchers to gain insightful knowledge from data. This article compares frequentist vs […] The post Frequentist vs Bayesian Statistics in Data Science appeared first on Analytics Vidhya.

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Hypothesis Testing in Inferential Statistics

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hypothesis testing is one of the most important techniques applied in various fields such as statistics, economics, pharmaceutical, mining and manufacturing industries.

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Top 40 Data Science Statistics Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As Josh Wills once said, “A Data Scientist is a person who is better at statistics than any programmer and better at programming than any statistician“ Statistics is a fundamental tool when dealing with data and its analysis in Data Science.