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2016 | OriginalPaper | Chapter

8. Sampling Distributions and Central Limit Theorem

Authors : Cheng-Few Lee, John Lee, Jow-Ran Chang, Tzu Tai

Published in: Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses

Publisher: Springer International Publishing

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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.

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previous chapter The Normal and Lognormal Distributions
next chapter Other Continuous Distributions
Appendix
Available only for authorised users
Footnotes
1
For detailed information of SAS, a random function for different distributions can be found in http://​support.​sas.​com/​documentation/​cdl/​en/​lrdict/​64316/​HTML/​default/​viewer.​htm#a001466748.​htm
 
Literature
Microsoft Inc., Excel 2013. Microsoft Inc., Redmond
Lee CF, Lee JC, Lee AC (2013) Statistics for business and financial economics. Springer, New York
Minitab Inc. Minitab 17. Minitab Inc., State College
SAS Institute Inc. SAS 2014. SAS Institute Inc., Cary
Metadata
Title
Sampling Distributions and Central Limit Theorem
Authors
Cheng-Few Lee
John Lee
Jow-Ran Chang
Tzu Tai
Copyright Year
2016
Book
Essentials of Excel, Excel VBA, SAS and Minitab for Statistical and Financial Analyses

Print ISBN: 978-3-319-38865-6

Electronic ISBN: 978-3-319-38867-0

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-38867-0_8