Nominal Ordinal Interval Ratio Data (but not great for Interval)

A Halloween chocolate lesson in nominal, ordinal, interval, and ratio data #MRX

A Halloween chocolate lesson in nominal, ordinal, interval, and ratio data

deadly sins ;-]                                                                                                                                                                                 More

Cartoons

Hypothesis testing: committing any of these sins shows a clear misunderstanding of the underlying statistical concepts.

The Nuts and Bolts: Great descriptions and use of graphics that explain graphs. Share with your students!

15 Healthy Twists on Kids' Favorite Dessert Recipes

"Type I" and "Type II" errors, names first given by Jerzy Neyman and Egon Pearson to describe rejecting a null hypothesis when it's true and accepting one when it's not, are too vague for stat newc...

Type I and Type II errors simplified. A Type I error is rejecting a null hypothesis when it's true. A Type II error is not rejecting a n.

Analyse and present your data confidently by training in the statistical software #Minitab http://www.100pceffective.com/training-courses/minitab-software/

Out, liar! Your theory is wrong! Science joke funny graph school outlier anomalous result line of best fit

Statistics Humor.hahaha (Thanks to my stats teacher I know what this means.)

Normal vs Paranormal by Australian epidemiologist Matthew Freeman of the Public Health Information Development Unit at the University of Adelaide. I guess this is a new take on the Bell Curve for Halloween.

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