Tag Archives: bias

O.U..T…L….I……E……..R………………..S

Datasets may contain values that is far greater (or less) than, or doesn’t display the same characteristics as the other values. If the influential observation is not representative of the population being sampled, it is called an outlier. Deciding what to do with outliers can be a challenge for data analysts. Continue reading

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Polls Apart

Election season is fast approaching so you can be sure a plethora of polls will soon be adding to the mayhem. Polls educate us in two ways. They tell us what we, or at least the population being polled, think. … Continue reading

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Ockham’s Spatula

Model building is like climbing a mountain. It’s what you spend so much time planning for. It’s what everybody wants to talk about. It’s what gives you that euphoric feeling of accomplishment when you’re finished. But just as mountain climbers … Continue reading

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Tales of the Unprojected

We have a habit in writing articles published in scientific journals to make the work as finished as possible, to cover up all the tracks, to not worry about the blind alleys or describe how you had the wrong idea … 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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The Heart and Soul of Variance Control

You can’t understand data without controlling the variance. You can’t control variance without understanding the data. Variance Doesn’t Go Away By Ignoring It In an ideal universe, your dataset would contain no bias and only the natural variability you want … 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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