From the course: Analytical Thinking to Evaluate Conclusions

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From the course: Analytical Thinking to Evaluate Conclusions

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Question data

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I have two pieces of good news for you. Coffee lovers enjoy a healthier heart, and flexibility at work leads to better performance. Given that you're here for analytical thinking to evaluate conclusions, one might think you're comfortable questioning claims like these. You're comfortable with skepticism. That's a great thing. As a wise skeptic for the claim, "Coffee lovers enjoy a healthier heart, " you might be asking, healthier than who or healthier than what? Or how do you measure a coffee lover? What about the claim, "Flexibility at work leads to better performance?" You might be asking, how are you measuring flexibility or performance or better performance than what or whom? The journey from data to information to knowledge to wisdom can hide a lot of potential misinterpretations. It's crucial to dig deeper, and the first step is to question the very data that starts us on this journey. So what are the questions? I like using DATACHECK. No need to memorize it because I've…

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