# Category Probability

Grasp the basics of probability theory to predict and analyze statistical data with confidence.

## 4 Reasons Why Independence Assumption is Important in Statistics

Today, we will talk about something really important in the world of statistics: the independence assumption. I know what you’re thinking: “Why is independence such a big deal anyway?” Well, buckle up, because we’re about to dive into the fascinating…

## How To Take A Simple Random Sample In 4 Easy Steps

Simple random sampling is the most common type of sampling strategy used in statistics, where a simple random sample represents a subset of individuals randomly picked from a larger population. The simple random sampling approach is most widely used because…

## Null Hypothesis Explained: How And When To Use It

If a Null Hypothesis could talk, it would say something like this: “I have no relationship with the variables in this study.” In other words, the null hypothesis assumes that the measured phenomena [the dependent variable] and the independent variable…

## What is Stratified Sampling: Definition and Use

Stratified sampling, also known as stratified random sampling, is a probability sampling technique that considers the different layers or strata characterizing a population and allows you to replicate those layers in the sample. The stratification in stratified sampling is done…