Tag Archives: Normal distribution

Five Things You Should Know Before Taking Statistics 101

Of the over two million college degrees that are granted in the U.S. every year, including those earned at accredited online colleges nationwide, probably two-thirds require completion of a statistics class. That’s over a million and a half students taking … Continue reading

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A Picture Worth 140,000 Words

Even if it’s been a while since your last statistics class, when you read Stats with Cats: The Domesticated Guide to Statistics, Models, Graphs, and Other Breeds of Data Analysis you’ll figure out that there’s much more to data analysis … Continue reading

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Grasping at Flaws

Even if you’re not a statistician, you may one day find yourself in the position of reviewing a statistical analysis that was done by someone else. It may be an associate, someone who works for you, or even a competitor. … Continue reading

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You’re Off to Be a Wizard

The process of developing a statistical model (http://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/) involves finding the mathematical equation of a line, curve, or other pattern that faithfully represents the data with the least amount of error (i.e., variability). Variability and pattern are the yin and … Continue reading

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Fifty Ways to Fix your Data

Fifty Ways to Fix your Data (Sing to the tune of “Fifty Ways to Leave Your Lover” by Paul Simon) The problem is all about your scales, she said to me The R-squares will be better if you’ve matched ’em … Continue reading

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Assuming the Worst

If you’re going to be poking around data looking for patterns and anomalies, you should be aware of the fundamental requirements you need to fulfill, or at least assume you fulfill. Consider this. All models make assumptions, an evil necessity … Continue reading

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The Zen of Modeling

What’s the first thing you think of when you hear the word model? The plastic model airplanes you used to build? A fashion model? The model of the car you drive? The person who is your role model? But what … Continue reading

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30 Samples. Standard, Suggestion, or Superstition?

If you’ve ever taken any applied statistics courses in college, you may have been exposed to the mystique of 30 samples. Too many times I’ve heard statistician do-it-yourselfers tell me that “you need 30 samples for statistical significance.” Maybe that’s … Continue reading

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It’s All Greek

When Humpty Dumpty uses a word, it means just what he chooses it to mean, neither more nor less. To people not conversant in a technical specialty, it seems that all the experts are Humpty Dumptys. Statistics is no exception. … Continue reading

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Stats With Cats: What’s inside

Stats With Cats is a great companion to any introductory textbook in statistics. You won’t find a lot of equations or descriptions of the central limit theorem, probability, and hypothesis testing. You can find that information in traditional statistical texts. … Continue reading

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