What are the best practices for interpreting data?
When interpreting data, it's essential to consider context, avoid biases, and use appropriate statistical methods.
Can you explain why context is important?
Context helps to understand the circumstances surrounding the data, which can influence its meaning and relevance.
What are some common biases to watch out for?
Common biases include confirmation bias, selection bias, and anchoring bias, which can skew your interpretation.
How can I ensure I'm using the right statistical methods?
Choose statistical methods based on your data type, research question, and ensure you understand the assumptions behind them.
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