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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.
Tag Archives: jargon
What Type of Data Scientist are You?
Read any popular business magazine and you’re sure to find an article about how data science is the wave of the future. Since 2011, after fifty years of wandering through the halls of academia, real world employment of data scientists … Continue reading
Posted in Uncategorized
Tagged business analytics, cats, credentials, data mining, data science, data scientists, jargon, math, mbti, programming, statistics, stats with cats
5 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
6 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
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
3 Comments
You’re Off to Be a Wizard
The process of developing a statistical model (http://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/) 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, F-test, jargon, model, multicollinearity, Normal distribution, probability, regression coefficients, residuals, standard error of estimate, statistical analysis, statistical leverage, statistical tests, statistics, stats with cats, t-test, trend, uncertainty, variability, variance inflation factor
5 Comments
The Seeds of a Model
Perhaps the most complicated and time-consuming aspect of model building is selecting the components of your model—the variables, the samples, and the data (http://statswithcats.wordpress.com/2010/12/04/many-paths-lead-to-models/). Here are a few tips for collecting the seeds of your model. Models Revisited Here’s a … Continue reading
It was Professor Plot in the Diagram with a Graph
You probably were taught how to graph data in high school. Depending on your work, you may frequently plot data yourself or look at graphs prepared by others. Even if you don’t use graphs on your job, you may run … Continue reading
Posted in Uncategorized
Tagged axis, cats, charts, diagrams, graphs, jargon, McCandless, measurement scales, number of samples, plots, statistical analysis, statistics, stats with cats, Tufte
2 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
6 Comments
The Five Pursuits You Meet in Statistics
When people think about statistical analyses, they often think only of mind-numbing number crunching that creates yet more numbers. But that’s like touring a cabinetmaker’s shop and seeing only the sawdust. A talented cabinetmaker can create beauty and function in … Continue reading
Posted in Uncategorized
Tagged cats, jargon, mean, objectives, population, statistical analysis, statistics, stats with cats
7 Comments
