What are some common misconceptions about statistics?
Many people believe that correlation implies causation, which is a major misconception.
Can you explain why correlation doesn't imply causation?
Sure! Just because two variables move together doesn't mean one causes the other; there could be other factors at play.
What are some examples of this in real life?
A classic example is ice cream sales and drowning incidents; both increase in summer, but one doesn't cause the other.
Are there other misconceptions I should be aware of?
Yes, another common misconception is that a small sample size is always unreliable, but it depends on the context.
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