What are some common mistakes in statistical analysis?

What are some common mistakes in statistical analysis?

Some common mistakes include misinterpreting p-values, ignoring sample size, and failing to check assumptions.

Can you explain why misinterpreting p-values is a mistake?

Sure! Misinterpreting p-values can lead to incorrect conclusions about the significance of results, often overstating findings.

What about sample size? Why is it important?

Sample size affects the reliability of results. A small sample may not represent the population, leading to biased conclusions.

How can I avoid these mistakes in my analysis?

To avoid these mistakes, ensure you understand statistical concepts, use proper sample sizes, and validate your assumptions.