Tag Archives: statistical analysis

How to Write Data Analysis Reports. Lesson 3—Know Your Route.

You’ve been taught since high school to start with an outline. Nothing has  changed with that. However, there are many possible outlines you can follow depending on your audience and what they expect. The first thing you have to decide … Continue reading

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How to Write Data Analysis Reports. Lesson 2—Know Your Audience.

Every self-help article about technical writing starts by telling readers to consider their audience. Even so, probably few report writers do. In a statistical analysis, you usually start by considering the characteristics of the population about which you want to … Continue reading

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How to Write Data Analysis Reports. Lesson 1—Know Your Content.

In every data analysis, putting the analysis and the results into a comprehensible report is the final, and for some, the biggest hurdle. The goal of a technical report is to communicate information. However, the technical information is difficult to … Continue reading

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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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Regression Fantasies: Part III

Is Your Regression Model Telling the Truth? There are many technologies we use in our lives without really understanding how they work. Television. Computers. Cell phones. Microwave ovens. Cars. Even many things about the human body are not well understood. … Continue reading

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Regression Fantasies: Part I

Five Common Reasons for Doubting a Regression Model Finding a model that fits a set of data is one of the most common goals in data analysis. Least squares regression is the most commonly used tool for achieving this goal. … Continue reading

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Aphorisms for Data Analysts

An aphorism is a pithy saying that reveals some astute observation or popular notion, whether true or fictitious. “Lies, damn lies, and statistics” you’ve undoubtedly heard. If you’ve taken Stats 101, you probably know that “correlation doesn’t imply causation.” Here … Continue reading

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Getting the Right Answer

The academic world of statistics stresses understanding theory, types of analyses, calculations and interpretations. In the world of profit-driven business and government regulations, though, there’s even more to consider, especially if you are conducting the analysis for a boss or … Continue reading

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Ten Tactics used in the War on Error

Scientists and other theory-driven data analysts focus on eliminating bias and maximizing accuracy so they can find trends and patterns in their data. That’s necessary for any type of data analysis. For statisticians, though, the real enemy in the battle … Continue reading

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It’s All Relative

It’s easy to quote someone out of context to impart a false impression. A movie critic might write a review saying, “This film is a delight compared to a colonoscopy” only to be quoted as saying, “This film is a … Continue reading

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