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If you are not part of the data science community, and you hear one of us casually drop a line like "Correlation does not equal causation, y'know..." and you feel the instinct to roll your eyes and ignore whatever they say next... I hear you. What
In part 1, we looked at how the average, usually the mean average, is used and misused in news headlines and in public discussions of big world issues (health, finance, society in general, etc...). In part 2, I introduced the importance of standard deviation, showing the spread of data, and
Last time we talked about the most misused descriptive statistic there is, the all-powerful average. Today, we take a quick look at the descriptive statistics you don't see in the news that much and give us a much better picture of the data: Skewness and Standard Deviation. What
The Discomfort If you’ve ever asked someone what they do for a living and gotten an answer like “I work in statistics” or “I do data science,” you’ve probably seen the look: a blank stare, or the polite smile that means “that sounds complicated and I’m not