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Recent Posts from: Random TerraBytes
DISCLAIMER
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.About pictures
I decided to start using other peoples' pictures of cats for my blogs for a variety of reasons. It's hard enough for me to get a good picture of my cats let alone one that might go with what I'm writing. I also thought it would improve my blogs by having a much greater variety of images to choose from. I understand enough about creativity and art and photography to know they are both a talent and a skill that should be recognized. I want to give proper attribution to the creators of the images I use in my blogs, but there is a problem. Virtually every image I want to use appears in more than one place on the Internet. I thought using tineye.com, a search site for finding URLs of uploaded images, would help. In fact, I found the opposite. Some of the images I've searched for are found on a hundred different sites, making it impossible to identify the original. So, if I can't identify the original, I'll cite the site I got the image from or if it's an image I don't have a URL for, I'll cite the site that tineye.com indicates has the image that most closely matches the image I use. If I use an image that you created and I didn’t give you credit, I'm sorry. Let me know and I’ll fix the citation or remove the image.Meta
Tag Archives: statistical tests
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
2 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
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
7 Comments
You’re Off to Be a Wizard
The process of developing a statistical model (https://statswithcats.wordpress.com/2010/12/04/manypathsleadtomodels/) involves finding the mathematical equation of a line, curve, or other pattern that faithfully represents the data with the least amount of error (i.e., variability). Variability and pattern are the yin and … Continue reading
Posted in Uncategorized
Tagged AIC, BIC, cats, coeffiient of determination, Cook’s Distance, dependent variable, DFBETAs, Ftest, jargon, model, multicollinearity, Normal distribution, probability, regression coefficients, residuals, standard error of estimate, statistical analysis, statistical leverage, statistical tests, statistics, stats with cats, ttest, trend, uncertainty, variability, variance inflation factor
8 Comments
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, Rsquare, sample size, shrunken correlation, software, statistical analysis, statistical tests, statistics, stats with cats, trend, variance
36 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
39 Comments