What are some common mistakes people make when interpreting variance?
One common mistake is confusing variance with standard deviation. Variance measures the spread of data, while standard deviation is the square root of variance.
Can you explain why that confusion happens?
Sure! Many people find standard deviation easier to understand because it’s in the same units as the data, while variance is in squared units.
Are there any other mistakes I should be aware of?
Yes, another mistake is assuming that a higher variance always indicates a better model. It can sometimes mean overfitting.
How can I avoid these mistakes?
To avoid these mistakes, always check the context of your data, use visualizations, and understand the definitions clearly.
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