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For those of you new to me and my website, let me catch you up really quick. I am a scientist, a data person, an exerciser, and a teacher; both by training and by trade. The surprising thing about this is that I never actually saw myself going this way
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