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Why might a statistically significant result not always be practically significant?
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Why might a statistically significant result not always be practically significant?
What this question tests
- Metrics
- Structured problem solving
- Communication
- Trade-off reasoning
Practise this question under interview conditions. Answer it out loud against a timer with an AI interviewer that asks follow-ups, then review the scored report.
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