Why might managers choose not to test assumptions with data

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Reference no: EM134021723

Assignment:

How could hypothesis testing add value before committing to a decision? Use an example from your organization or industry where leaders might be relying on an assumption to support your answer.
Why might managers choose not to test assumptions with data and what risks does that choice create?
How might AI tools (e.g., automated A/B testing, predictive analytics) make it easier for leaders to test assumptions quickly and accurately?
How might these tools reduce bias or error in managerial decision-making?

Reference no: EM134021723

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