Welcome to On Statistics

Understanding how something changes is crucial across various fields. From evaluating the effectiveness of a new training program to tracking the growth of a company, researchers and practitioners frequently seek methods to measure change over time. This is where the pretest-posttest design emerges as a valuable tool. What is a Pretest-Posttest Design? A pretest-posttest design,…

In the realm of research, uncovering the true cause-and-effect relationships between variables can be a complex task. Often, external factors can muddle the picture, making it difficult to isolate the effect of one variable on another. This is where the matched pairs design emerges, wielding a unique approach to tackle this challenge. What is a…

Have you ever wondered how researchers or pollsters gather information about a population without surveying every single member? The answer lies in a crucial tool known as the sampling frame. Imagine it as an address book, a roadmap, or a blueprint for selecting a representative sample from a larger group. What is a Sampling Frame?…

In the intricate world of research, understanding the relationship between variables is paramount. Explanatory and response variables act as the dance partners in this endeavour, unveiling insights into how one variable influences another. This article delves into their core concepts, applications, and formulas, equipping you with the knowledge to confidently navigate your research journey. Unveiling…

In the ever-evolving landscape of research, choosing the right study design is like picking the perfect key to unlock valuable knowledge. It determines how you collect data, analyze results, and ultimately draw conclusions. This article serves as your comprehensive guide, delving into the core concepts, exploring diverse designs, and equipping you with the knowledge to…