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Quantitative Analysis and IBM (R) SPSS (R) Statistics - A Guide for Business and Finance (Paperback, Softcover reprint of the original 1st ed. 2016) Loot Price: R1,539
Discovery Miles 15 390
Quantitative Analysis and IBM (R) SPSS (R) Statistics - A Guide for Business and Finance (Paperback, Softcover reprint of the...

Quantitative Analysis and IBM (R) SPSS (R) Statistics - A Guide for Business and Finance (Paperback, Softcover reprint of the original 1st ed. 2016)

Abdulkader Aljandali

Series: Statistics and Econometrics for Finance

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Loot Price R1,539 Discovery Miles 15 390 | Repayment Terms: R144 pm x 12*

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This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Statistics and Econometrics for Finance
Release date: July 2018
First published: 2016
Authors: Abdulkader Aljandali
Dimensions: 235 x 155 x 11mm (L x W x T)
Format: Paperback
Pages: 184
Edition: Softcover reprint of the original 1st ed. 2016
ISBN-13: 978-3-319-83312-5
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Business & Economics > Finance & accounting > Finance > Corporate finance
Books > Business & Economics > Business & management > Business mathematics & systems > General
Books > Money & Finance > Corporate finance
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LSN: 3-319-83312-X
Barcode: 9783319833125

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