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This analytical ten-part series, adapted from the popular series developed for students to enhance their test-taking skills, combines serious academic content with a humorous presentation style to help make the subject of statistics more accessible. Each program skillfully employs elements such as clever mnemonics, high-tech computer graphics, and entertaining vignettes to boost retention and confidence while driving home core concepts through concise explanations and engaging examples.

 

Joining the Standard Deviants Academic Team in the creation of this series are Ron Witzel, D.Sc., of George Washington University, and Barry Skolnik, M.S., of Pace University.

 

10-part series, 17-37 minutes each.

 



 
                

Item#: This title is currently not available.
Copyright date: ©2000



The Series Includes : Introduction to Statistics and the Relative Frequency Histogram | Other Graphical Methods and Numerical Methods | Measures of Variability and Relative Standing | Probability | Random Variables | Binomial Probability Distribution | Poisson Probability Distribution and the Urn Model | Probability Distributions for Continuous Random Variables | Sampling Distributions and Large Samples | Hypothesis Testing, Types of Error, and Small Samples
     


Only available in the US and Canada.




Calculus: The Standard Deviants? Core Curriculum
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Probability

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Geometry: The Standard Deviants(r) Core Curriculum
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Continuity and Differentiability
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After Denim Dog, General Rule, and other experts wrap up the subjects of continuity and discontinuity, this program introduces the derivative. Practical examples of derivatives are provided, along with insights into the concepts of tangent lines and ...(more details)
 
Higher Derivatives and the Chain Rule
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What do you get when you calculate the derivative of a derivative of a derivative? After taking the headaches out of understanding higher-order derivatives, this program zooms in on the Chain Rule, used alone and in combination with the Power Rule. E...(more details)
 


See additional titles in Mathematics & Statistics

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