Tag Archives: population

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 Can Lead a Boss to Data but You Can’t Make Him Think

The most carefully planned data analysis may not survive the intervention of a boss (or a client or other reviewer), whether well intentioned or not. Your aim may be to generate sound data and conduct a thorough and valid analysis, … Continue reading

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Ten Fatal Flaws in Data Analysis

1. Where’s the Beef? In a way, the worst flaw a data analysis can have is no analysis at all. Instead, you get data lists, sorts and queries, and maybe some simple descriptive statistics but nothing that addresses objectives, answers … Continue reading

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Resurrecting the Unplanned

Even if you took a class in statistics or another form of data analysis, you probably didn’t hear about frankendata. Frankendata is created when data, collected by different people, at different times and locations, analyzed with different procedures and equipment, … 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 Five Pursuits You Meet in Statistics

When people think about statistical analyses, they often think only of mind-numbing number crunching that creates yet more numbers. But that’s like touring a cabinetmaker’s shop and seeing only the sawdust. A talented cabinetmaker can create beauty and function in … 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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There’s Something About Variance

Imagine practicing hitting a target using darts, bow and arrow, pistol, cannon, missile launcher, or whatever. You aim for the center of the target. If your shots land where you aimed, you are considered to be accurate. If all your … 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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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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