ashutosh25.hashnode.dev🧠 The Central Limit Theorem — Explained SimplyNote: To follow this article, it helps to be familiar with the concept of a Normal Distribution, and also with the idea of sampling from a statistical distribution. 📌 Introduction The Central Limit Theorem (CLT) is one of the most powerful and sur...Jun 29, 2025·4 min read
ashutosh25.hashnode.dev🔍 Power Analysis in Statistics: A Deep Dive📌 Introduction Imagine running an experiment, collecting data, performing a hypothesis test—and failing to detect a true effect simply because your study was underpowered. Frustrating, right? This is where power analysis steps in. It’s a critical to...Jun 27, 2025·4 min read
ashutosh25.hashnode.dev🔍 Understanding Statistical Power in Hypothesis TestingIn the world of statistics and data analysis, making decisions based on sample data is a delicate task. One key concept that helps us judge the effectiveness of our statistical tests is Statistical Power. In this blog, we’ll break down what statistic...Jun 19, 2025·3 min read
ashutosh25.hashnode.devFalse Discovery Rates (FDR): What They Are and How They WorkIf you’ve ever dabbled in high-throughput sequencing, genomics, or large-scale hypothesis testing, then chances are you’ve heard of False Discovery Rates (FDR). Maybe you’ve even used them. But have you ever paused to ask: Where do False Discovery R...Jun 18, 2025·4 min read
ashutosh25.hashnode.dev📊 P-Hacking: What It Is and How to Avoid It!"p-hacking...... don't do it.If you do it...it's a shame!" 😅 📌 Introduction Before we dive deep into p-hacking, make sure you're already familiar with p-values and their interpretation. If you're not, check out my earlier technical blog post on P...Jun 16, 2025·4 min read