Abstract
This article makes a case for introducing moving averages into introductory statistics courses and into contemporary modeling/data-based courses in college algebra and precalculus. The authors examine a variety of aspects of moving averages and draw parallels between them and similar topics in calculus, differential equations, and linear algebra. The article: (1) shows how to calculate the moving averages for a set of data; (2) discusses the effect of the length of the moving average cycle on the sequence of values generated; (3) discusses the mathematical property of the moving average as a mathematical function/operator; (4) addresses the problem of how to retrieve the underlying sequence of data values from the known sequence of values of the moving averages; and (5) discusses the significance of the moving averages of the moving averages in the sense of smoothing out the original data to better identify the pattern in that data.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
