Develop an original response describing a real-world example where statistics might be used to misrepresent data or where they might not fully represent an underlying truth without adequate disclosure of the limitations of what the data can and can't say about something. You might discuss: political polls with wide errors of margin, earnings before interest, taxes, depreciation, and amortization (EBITDA) projections for a tech startup seeking venture capital, or patient satisfaction scores across a healthcare system. Or, think of your own example and share it with the class. For whatever example you choose, use the Module 1 readings to support your points, discussing what factors might need to be "hedged" with limitations when applying statistics to the situation. citations