Essential Statistical Concepts for Data Analysts
Introduction
Recent posts
The Advantages of Using Data Science in Health Tech
Introduction
Modeling Count Events with Poisson Distribution in R
In this article, we will explore how to model count events, such as activations of certain types of events, using the Poisson distribution in R. We will also discuss how to determine if an observed count belongs to the Poisson distribution.
G-Test vs. Chi-Square Test: Modern Alternatives for Testing Categorical Data
Learn the key differences between the G-Test and Chi-Square Test for analyzing categorical data, and discover their applications in fields like genetics, market research, and large datasets.
How to Write a Research Paper
Master the process of writing a research paper with tips on developing a thesis, structuring arguments, organizing literature reviews, and improving academic writing.
Critical Review of ‘Bursting the (Filter) Bubble: Interactions of Members of Parliament on Twitter’
Introduction
Probability Integral Transform: Theory and Applications
An in-depth guide to understanding and applying the Probability Integral Transform in various fields, from finance to statistics.
Understanding Probability and Odds
Discover the difference between probability and odds in biostatistics, and how these concepts apply to data science and machine learning. A clear explanation of event occurrence and likelihood.