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When making decisions business people are searching for accurate data to base their models on. However, sometimes implicit and explicit biases can affect not only what data sources are selected but also how that data is interpreted.
Considering this please address the following prompts in your discussion:
1. Think of a business example of how a bias created a poor analysis, decision or outcome. How could this have been avoided?
2. Support your ideas with examples and/or references.
1.long-run real interest rates are expected to increase. an accountant and an mba student who just finished his course
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