Standard Deviants: Statistics Module 1 - The Basics What is statistics? Aside from baseball and betting, what is it used for? The Standard Deviants explain the basics of this fascinating subject. Standard Deviants School Statistics Module 2: Distribution Curves With a little magic, you'll learn statistics without the usual mumbo-jumbo. You'll discover how to transform a confusing lump of numbers into an easy-to-understand picture, like distribution curves and stem-and-leaf displays.. Standard Deviants: Statistics Module 3 - Variability and Standard = ~ Standard Ever feel like you're not ordinary? Then you'll understand how numbers feel when we talk about measures of variability and standard deviation. Next, it's the mysterious z-score. What could it be? You'll find out! Standard Deviants: Statistics Module 4 - Probability What's the chance you'll draw a face card out of a 52-card deck? That's one of many questions related to probability! Find out about probability and more. Standard Deviants: Statistics Module 5 - Random Variables The Standard Deviants cover discrete and continuous random variables like Baryshnikov covers the dance floor. Languish not, for variance, standard deviation, and other linchpins of statistical learning will also present themselves for your enjoyment. Standard Deviants: Statistics Module 6 - The Binomial Formula The Standard Deviants revisit the binomial formula. And believe it or not, you won't need a pen or paper! We'll show you some handy tricks using clear explanations and fancy graphics. No mess, no boredom, just old-fashioned fun and a bit of rhythmics. Standard Deviants: Statistics Module 7 - Working With = More about continuous random intervals as the Standard Deviants walk you from point A to point B. On the horizon is the dynamic duo of distributions: normal and uniform. These two distributions sizzle more than hotcakes on a radiator. Finally, we'll take a quick sample of sampling. Standard Deviants: Statistics Module 8 - Statistics Tricks Find out how to employ the empirical rule, command the confidence coefficient, and exercise the error of estimation. And you'll learn what we call the meanest of the mean: the mean of the sampling distribution.