Analytics to Infer Population Characteristics and Differences
Cynthia Fraser
Additional contact information
Cynthia Fraser: University of Virginia, McIntire School of Commerce
Chapter Chapter 2 in Business Statistics for Competitive Advantage with Excel and JMP, 2024, pp 23-46 from Springer
Abstract:
Abstract Analytics to infer population characteristics and segment differences rely on samples. Samples are collected and analyzed to efficiently estimate population characteristics. Inference from samples enables tests of hypotheses about what may be true in the population. Those hypotheses are tested and population parameters are estimated with confidence intervals. Included in this chapter are tests of hypotheses and confidence intervals forInference relies on the properties of Normally distributed sample means. Those properties of Normal distributions are explored first, below.
Date: 2024
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:978-3-031-42555-4_2
Ordering information: This item can be ordered from
http://www.springer.com/9783031425554
DOI: 10.1007/978-3-031-42555-4_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 ().