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The postings on this blog are my own (except as noted) and do not necessarily represent the positions, strategies or opinions of my current, past, and future employers, cats and other family members, relatives, Facebook friends, real friends, Charlie Sheen, people who sit next to me on public transportation, or myself when I’m in my right mind.-
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Monthly Archives: November 2010
Secrets of Good Correlations
If you’ve ever seen a correlation coefficient, you’ve probably looked at the number and wondered, is that good? Is a correlation of -0.73 good but not a correlation of +0.58? Just what is a good correlation and what makes a … Continue reading
Posted in Uncategorized
Tagged cats, coefficient of determination, correlation coefficient, measurement scales, multiple correlation, number of samples, objectives, outliers, partial correlation, R-square, sample size, shrunken correlation, software, statistical analysis, statistical tests, statistics, stats with cats, trend, variance
36 Comments
Fifty Ways to Fix your Data
Fifty Ways to Fix your Data (Sing to the tune of “Fifty Ways to Leave Your Lover” by Paul Simon) The problem is all about your scales, she said to me The R-squares will be better if you’ve matched ’em … Continue reading
Posted in Uncategorized
Tagged Box-Cox, cats, correlation coefficient, differencing, information, lags, math, measurement, measurement scales, model, Normal distribution, recoding, rescaling, smoothing, software, standardization, statistical analysis, statistics, stats with cats, transformations, trend
31 Comments
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
Posted in Uncategorized
Tagged boss, cats, client, objectives, politics, population, sample size, samples, statistical analysis, statistics, stats with cats, surveys, uncertainty
3 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
Stats With Cats Blog 