In this week’s Brief, we look at ways to determine optimal sample size.  Our course spotlight is

• April 10 – May 8:  Sample Size and Power Determination

See you in class!

– Peter Bruce

Founder, Author, and Senior Scientist

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Big Sample, Unreliable Result

The 1948 Kinsey report on male sexual behavior in the U.S. yielded estimates of homosexuality that were surprisingly high.  The report was controversial among statisticians. Which noted statistician said he’d sooner believe data from a random sample of 3 than from a sample of 300 selected by Kinsey?

• Thomas Bayes
• Ronald Fischer
• John Tukey
• Jerzy Neyman

[…]

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Word of the Week

Ridge Regression

Ridge regression is a method of penalizing coefficients in a regression model to force a more parsimonious model (one with fewer predictors) than would be produced by an ordinary least squares model. The term “ridge” […]

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Course Spotlight

April 10 – May 8:  Sample Size and Power Determination

In this course, taught by Kuber Deokar, Instructional Operations Supervisor at Statistics.com, you will learn how to

• Specify the factors that interact to determine sample size
• Estimate unknowns needed to calculate sample size
• Deal with paired data 
• Find sample size for a regression analysis
• Use software to calculate sample size needed for tests of means, proportions

See you in class!

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Digital Badges

Digital badges provide employers and peers concrete evidence of what you have learned and the skills required to earn your credential. Each badge’s digital image holds verified metadata describing your qualifications and the mastery required to earn them.

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