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Tag Archives: precision
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
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
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
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
Posted in Uncategorized
Tagged cats, correlation coefficient, criticism, dependent variable, jargon, math, mean, Normal distribution, number of samples, objectives, population, precision, probability, rule of thumb, sample size, samples, software, statistical analysis, statistical tests, statistics, stats with cats, uncertainty, variability
8 Comments
Many Paths Lead to Models
If you’ve never created a statistical model before, you might be surprised to find that the process involves a lot more than statistics. It’s like traveling. You don’t start by thinking about your transport, the plane, train, or bus you … Continue reading
Posted in Uncategorized
Tagged accuracy, cats, model, model building, modeler viewpoint, precision, statistical analysis, statistics, stats with cats
6 Comments
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
Posted in Uncategorized
Tagged cats, extrapolation, information, meaningfulness, measurement scales, model, number of samples, polls, population, precision, resolution, sample size, samples, significance, standardization, statistical analysis, statistical tests, statistics, stats with cats, surveys, uncertainty, variability, variance
42 Comments
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
Posted in Uncategorized
Tagged bias, blinding, cats, control sample, covariate, jargon, measurement, placebo, precision, samples, SOP, statistical analysis, statistics, stats with cats, uncertainty, variability, variance, variance control
11 Comments
The Measure of a Measure
If you can measure a phenomenon, you can analyze the phenomenon. But if you don’t measure the phenomenon accurately and precisely, you won’t be able to analyze the phenomenon accurately and precisely. So in planning a statistical analysis, once you … Continue reading