By Jon Hasenbank and John Appiah Kubi, Grand Valley State University This article introduces a method for identifying statistically meaningful differences between two data sets using the mean absolute deviation, known as MAD and a measure of variability taught in middle school curricula under the Common Core State Standards, which parallel the recommendations of the Pre-K-12 … [Read more...] about How MAD Must We Be? A Robust Test for Identifying Meaningful Differences Using the Mean Absolute Deviation
Sample Size
Developing the Theory of Hypothesis Testing: An Exploration
By Craig Lazarski, Cary Academy There are many concepts associated with hypothesis testing, but it all comes down to variation. How unusual is the variation we observe in a sample? Students can often lose sight of this basic idea once they have learned the various procedures introduced in an introductory statistics course. Further, they may blindly follow the procedure … [Read more...] about Developing the Theory of Hypothesis Testing: An Exploration
Lesson Plan: Confidence in Salaries in Petroleum Engineering
By Susan A. Peters and AnnaMarie Conner (Grades 9–12+) Originally published in October 2016, this lesson introduces students to bootstrapping methods for making inferences about a population parameter using a randomly selected sample from the population. Students use random samples of salaries for petroleum engineering graduates—graduates employed in the profession earning … [Read more...] about Lesson Plan: Confidence in Salaries in Petroleum Engineering