What are some common mistakes people make in statistics?
An example of an AI chatbot conversation about common mistakes in statistics.
What are some common mistakes people make in statistics?
Some common mistakes include misunderstanding p-values, misinterpreting correlation as causation, and ignoring sample size.
Can you explain why misunderstanding p-values is a mistake?
Sure! Many people think a p-value below 0.05 means the result is significant, but it doesn't measure the size of the effect or its practical significance.
What about correlation and causation? Why is that a mistake?
Correlation does not imply causation. Just because two variables move together doesn't mean one causes the other; there could be other factors involved.
How can I avoid these mistakes in my analysis?
To avoid these mistakes, ensure you understand statistical concepts, use proper sample sizes, and always consider the context of your data.
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