Tag Archives: samples

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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The Seeds of a Model

Perhaps the most complicated and time-consuming aspect of model building is selecting the components of your model—the variables, the samples, and the data (https://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/). Here are a few tips for collecting the seeds of your model. Models Revisited Here’s a … 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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It’s All in the Technique

You can’t understand your data unless you control extraneous variance attributable to the way you select samples, the way you measure variable values, and any influences of the environment in which you are working. Using the concepts of reference, replication … Continue reading

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Samples and Potato Chips

Samples are like potato chips. You’re never satisfied with just one. Every one you take makes you want more. And you’re never sure you’ve had enough until you’ve had way too many.   Betcha Can’t Take Just One One observation. … Continue reading

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Purrfect Resolution

No matter what their area of expertise, statisticians are asked certain questions with such predictability that it borders on the deterministic. No question is asked more often than: How many samples do I need? Most statisticians wish they could answer … 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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