#inferential statistics

Effect size is a fundamental concept in statistics that quantifies the magnitude of a phenomenon, relationship, or difference observed in data. Unlike p-values, which indicate whether an observed effect is unlikely to have occurred under a specified null hypothesis, effect sizes convey how large or practically meaningful that effect is. This distinction has become increasingly emphasized in…

Quantitative data analysis—what’s it all about? If you’ve ever wondered how numbers can tell a story or reveal hidden insights, you’re in the right place. This guide will break down everything you need to know about quantitative data analysis, from when and how to use it, to its core components and methods. Ready to dive in? Let’s explore! What Is Quantitative Data Analysis? Quantitative data…

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Statistics you need in the office: Descriptive & Inferential statistics, Hypothesis testing, Regression analysis What Will I Learn?

Understand the fundamentals of statistics

Learn how to work with different types of data

How to plot different types of data

Calculate the measures of central tendency, asymmetry, and variability

Calculate correlation and covariance

Distinguish and work with…