P-Values Explained Simply: Avoid These Common Mistakes (Python Example)
Автор: TheResidual
Загружено: 2025-12-25
Просмотров: 27
The p-value is one of the most misunderstood ideas in statistics.
Students memorize it. Researchers misuse it. And many people interpret it completely wrong.
In this video, I break down the p-value from first principles, without jargon, and without unnecessary formulas. By the end, you’ll understand what a p-value really means, what it does NOT mean, and how to interpret it correctly in real research.
In this video, you’ll learn:
• Why the p-value confuses so many people
• The most common wrong definitions of p-value
• The correct interpretation (in plain language)
• A simple coin-flip analogy that makes it click
• Why 0.05 became the standard cutoff
• What p-values cannot tell you about your study
• How to avoid the most common p-value mistakes
This video is perfect for:
• Statistics students
• Data analysts and data scientists
• Researchers and graduate students
• Anyone who has ever used a p-value without fully understanding it
If you’ve ever wondered “Do I really understand p-values?” — this video is for you.
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