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Tag Archives: variability
Regression Fantasies
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. It’s … Continue reading
Posted in Uncategorized
Tagged accuracy, autocorrelation, correlation coefficient, dependent variable, heteroscedasticity, intercept, misspecification, model, multicollinearity, Nonlinear relationships, number of samples, outliers, overfitting, precision, regression, sample size, samples, software, standardization, statistical analysis, statistical tests, statistics, stats with cats, stepwise regression, trend, variability, variance
13 Comments
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 twothirds require completion of a statistics class. That’s over a million and a half students taking … Continue reading
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
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
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
Posted in Uncategorized
Tagged accuracy, cats, client, correlation coefficient, data scrubbing, information, objectives, precision, samples, statistical analysis, statistics, stats with cats, variability, variance
1 Comment
Ten Tactics used in the War on Error
Scientists and other theorydriven 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
The Data Dozen
Data can take a variety of forms. Some are readily amenable to statistical analysis and some are better suited to other methods of analysis. When you’re trying to solve some problem or research question, though, you need to use whatever … Continue reading
Posted in Uncategorized
Tagged cats, information, measurement, measurement scales, model, statistical analysis, statistics, stats with cats, surveys, variability
6 Comments
Six Misconceptions about Statistics You May Get From Stats 101
When you learn new things, you can develop misconceptions. Maybe it’s the result of something you didn’t understand correctly. Maybe it’s the way the instructor explains something. Or maybe, it’s something unspoken, something you assume or infer from what was … Continue reading
Posted in Uncategorized
Tagged cats, data scrubbing, math, measurement, number of samples, polls, population, resolution, sample size, samples, statistical analysis, statistics, stats with cats, surveys, uncertainty, variability, variance
10 Comments
Limits of Confusion
A confidence interval is the numerical interval around the mean of a sample from a population that has a certain confidence of including the mean of the entire population. “Say what?” OK, let’s take it one point at a time. … Continue reading
Posted in Uncategorized
Tagged cats, jargon, number of samples, precision, statistics, stats with cats, t distribution, uncertainty, variability, variance
8 Comments
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