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Starting with probability is often a good approach.
Here’s why:
Probability First
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.
Intuition: Probability helps develop intuition about randomness and uncertainty, which is crucial when interpreting statistical data.
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:
Descriptive Statistics: Start with summarizing data (mean, median, mode, etc.) to get a feel for handling data.
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.
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