Top 10 Statistics Mistakes Every Data Scientist Should Avoid

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Statistics plays a crucial role in data science, helping us draw meaningful insights from data and make informed decisions. However, even the most experienced data scientists can make mistakes when dealing with statistical concepts and methods. These mistakes can lead to flawed analyses, misinterpretations, and inaccurate conclusions.