Random Number Generator

Thomas J. Quirk, Meghan Quirk and Howard Horton
Additional contact information
Thomas J. Quirk: Webster University

Chapter Chapter 2 in Excel 2010 for Physical Sciences Statistics, 2013, pp 21-35 from Springer

Abstract: Abstract Salt marshes are coastal wetlands found on protected shorelines along the eastern seaboard of the USA where fresh water mixes with seawater. When ocean tides flood salt marshes, the plants living there must cope with the salt water. The “salinity” (i.e., the salt content of the water) depends on how close the marsh is to the ocean. Suppose that a biogeographer is studying the effects of salinity on vegetation in a salt marsh in Maine and that she has mapped the salt marsh into 32 separate geographic areas. Suppose, further, that she has asked you to take a random sample of 5 of these 32 areas within the salt marsh so that she can measure the percent of salinity level in each of these areas. Using your Excel skills to take this random sample, you will need to define a “sampling frame.”

Keywords: Salt Marsh; Excel Skills; Shoreline Protection; Duplicate Frame Numbers; Random Sorting (search for similar items in EconPapers)
Date: 2013
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:978-3-319-00630-7_2

Ordering information: This item can be ordered from
http://www.springer.com/9783319006307

DOI: 10.1007/978-3-319-00630-7_2

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 ().