If I want to learn probability and statistics, which one should I start with and why?



Starting with probability is often a good approach. 


Here’s why:

Probability First

  1. Foundation: Probability theory provides the foundational concepts that underpin statistical methods. Understanding basic probability will make it easier to grasp concepts like distributions, which are central to statistics.

  2. Intuition: Probability helps develop intuition about randomness and uncertainty, which is crucial when interpreting statistical data.

  3. Application: Many statistical concepts, such as hypothesis testing and confidence intervals, rely on probability principles.

After Probability, Statistics

Once you have a solid grasp of probability, move on to statistics:

  1. Descriptive Statistics: Start with summarizing data (mean, median, mode, etc.) to get a feel for handling data.

  2. Inferential Statistics: Learn how to make predictions and inferences about populations based on sample data.

In essence, mastering probability first will give you the tools to better understand and apply statistical techniques.