What are some common misinterpretations of confidence intervals?
Common misinterpretations include thinking that a confidence interval gives the probability that a parameter lies within it.
Can you explain why that's a misconception?
Sure! A confidence interval reflects the range of values that, based on sample data, is likely to contain the true parameter in repeated samples.
What does it mean if a confidence interval is wide?
A wide confidence interval indicates more uncertainty about the parameter estimate, often due to a smaller sample size or high variability.
How can I improve the precision of my confidence intervals?
You can improve precision by increasing your sample size or reducing variability in your data.
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