How Fast is CO2 Increasing?
Thomas J. Pfaff ()
Additional contact information
Thomas J. Pfaff: Ithaca College, Department of Mathematics
Chapter Chapter 4 in Applied Calculus with R, 2023, pp 49-58 from Springer
Abstract:
Abstract In the Function Gallery, chapter 3 , we were introduced to functions that modeled data. The exercises were focused on the units and finding x-values and y-values, but there is much more information in these graphs. In this chapter we begin to develop quantifying how fast a function changes. We will start with how fast a function changes over an (input) interval by using a secant line which effectively averages the rate of change over an input range. We then begin to develop the notion of how fast a function changes at a specific input value with the goal of quantifying this speed. The analogy here is the speed of a car at moment in time. Once we can quantify change at a point we will be able to explicitly calculate key values of a function that were introduced in Describing a Graph, chapter 2 . We will use the model in figure 4.1, which measures the average amount of carbon dioxide, $$CO_2$$ C O 2 , in the atmosphere each year with the model constructed with data from 1950 through 2017. The function gallery, chapter 3 , has an updated CO2 function with more recent data.
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-28571-4_4
Ordering information: This item can be ordered from
http://www.springer.com/9783031285714
DOI: 10.1007/978-3-031-28571-4_4
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().