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

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This introductory textbook for business statistics teaches statistical analysis and research methods via business case studies and financial data using Excel, Minitab, and SAS. Every chapter in this textbook engages the reader with data of individual stock, stock indices, options, and futures.

One studies and uses statistics to learn how to study, analyze, and understand a data set of particular interest. Some of the more popular statistical programs that have been developed to use statistical and computational methods to analyze data sets are SAS, SPSS, and Minitab.

Of those, we look at Minitab and SAS in this textbook. One of the main reasons to use Minitab is that it is the easiest to use among the popular statistical programs. We look at SAS because it is the leading statistical package used in industry. We also utilize the much less costly and ubiquitous Microsoft Excel to do statistical analysis, as the benefits of Excel have become widely recognized in the academic world and its analytical capabilities extend to about 90 percent of statistical analysis done in the business world. We demonstrate much of our statistical analysis using Excel and double check the analysis and outcomes using Minitab and SAS—also helpful in some analytical methods not possible or practical to do in Excel.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2016

Collation

125 b/w illustrations, 781 illustrations in colour

Language

English

ISBN/ISSN

978-3-319-38867-0

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Economics
Management
Finance
Statistics in Business
Insurance
Statistics and Computing
Macroeconomics and Monetary Economics

Specific Detail Info

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Statement of Responsibility

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

Other Information

Cataloger

agus

Source

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