Populations vs Sample, the statistical insights explained simply

Statistics begins by recognizing populations versus samples. Understanding this distinction is fundamental for effective statistical analysis and decision-making <img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*pB8jRyYL7QQlS7kfx6ADBg.png" style="height:454px; width:700px" /> The first thing you do in statistics tofigure out if you’re dealing with all the data (population) or just some of it (sample). The population is like everything in the group or area which is denoted by big ’N’, and its numbers are called parameters. A sample is a part of the selected group or area which is denoted by small ’n’ and numbers we get from studying a smaller group are called statistics. That’s why we call the whole field “statistics.” <a href="https://blog.stackademic.com/populations-vs-sample-the-statistical-insights-explained-simply-997621e1e1a6">Website</a>