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# Tag Archives: statistical tests

## DARE TO COMPARE – PART 4

Part 3 of Dare to Compare shows how one-population statistical tests are conducted. Part 4 extends these concepts to two-population tests. To review, this flowchart summarizes the the process of statistical testing. First, you PLAN the comparison by understanding the … Continue reading

Posted in Uncategorized
Tagged ANOVA, blogs, cats, populations, statistical comparisons, statistical tests, statistics, statswithcats, t-test
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## DARE TO COMPARE – PART 3

Parts 1 and 2 of Dare to Compare summarized fundamental topics about simple statistical comparisons. Part 3 shows how those concepts play a role in conducting statistical tests. The importance of these concept are highlighted in the following table. Test … Continue reading

## Dare to Compare – Part 2

Part 1 of Dare to Compare summarized several fundamental topics about statistical comparisons. Statistical comparisons, or statistical tests as they are usually called, involve populations, groups of individuals or items having some fundamental commonalities. The members of a population also … Continue reading

## Dare to Compare – Part 1

In school, you probably had to line up by height now and then. That wasn’t too difficult. There weren’t too many individuals being lined up and they were all in the same place at the same time. An individual’s place … Continue reading

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Tagged blogs, cats, Normal distribution, population, statistical comparisons, statistical tests
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## Visualizations versus Infographics

Visualizations and infographics are both visual representations of data that are often confused. In fact, there is not a clear line of demarcation between the two. Both are informative. Both can be static or animated. Both require a knowledgeable person … Continue reading

## 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

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Tagged accuracy, autocorrelation, correlation coefficient, dependent variable, heteroscedasticity, intercept, misspecification, model, multicollinearity, Non-linear 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
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## 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 two-thirds 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

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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
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## You’re Off to Be a Wizard

The process of developing a statistical model (https://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

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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
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