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    Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using SPSS, Stata, and Excel

    Applied Statistics and Multivariate Data Analysis for Business and Economics by Cleff, Thomas;

    A Modern Approach Using SPSS, Stata, and Excel

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 69.54
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        29 498 Ft (28 094 Ft + 5% VAT)
      • Discount 20% (cc. 5 900 Ft off)
      • Discounted price 23 599 Ft (22 475 Ft + 5% VAT)

    29 498 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed. 2019
    • Publisher Springer
    • Date of Publication 14 August 2020
    • Number of Volumes 1 pieces, Book

    • ISBN 9783030177690
    • Binding Paperback
    • No. of pages474 pages
    • Size 235x155 mm
    • Weight 759 g
    • Language English
    • Illustrations 159 Illustrations, black & white; 110 Illustrations, color
    • 309

    Categories

    Short description:

    This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

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    Long description:

    This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.



    ?The book will be a very good textbook in applied statistics and multivariate data analysis for students in economics and business, and also for practitioners in firms that use those methods in their work.? (Anatoliy Swishchuk, zbMATH 1429.62002, 2020)

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    Table of Contents:

    Statistics and Empirical Research.- From Disarray to Dataset.- Univariate Data Analysis.- Bivariate Association.- Classical Measurement Theory.-Calculating Probability.- Random Variables and Probability Distributions.- Parameter Estimation.- Hypothesis Testing.- Regression Analysis.- Time Series and Indices.- Cluster Analysis.- Factor Analysis.

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    Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using SPSS, Stata, and Excel

    Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using SPSS, Stata, and Excel

    Cleff, Thomas;

    29 498 HUF

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