Sampling Distributions and Central Limit Theorem

Cheng-Few Lee, John Lee, Jow-Ran Chang and Tzu Tai
Additional contact information
Cheng-Few Lee: Rutgers University, Department of Finance
John Lee: Center for PBBEF Research
Jow-Ran Chang: National Tsing Hua University, Department of Quantitative Finance
Tzu Tai: Mezocliq, LLC

Chapter Chapter 8 in Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses, 2016, pp 241-302 from Springer

Abstract: Abstract Many times it is impossible or too costly to analyze the population data. Because of this we are only able to analyze a sample from the population. After analyzing the sample data, are we able to understand the population data from the sample data? The answer is yes. In this chapter we will study why the answer is yes.

Keywords: Central limit theorem; Population; Random errors; Sample; Sampling distribution (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-38867-0_8

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DOI: 10.1007/978-3-319-38867-0_8

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