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Record Nr. |
UNINA9910349537003321 |
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Autore |
Cleff Thomas |
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Titolo |
Applied Statistics and Multivariate Data Analysis for Business and Economics : A Modern Approach Using SPSS, Stata, and Excel / / by Thomas Cleff |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
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ISBN |
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Edizione |
[1st ed. 2019.] |
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Descrizione fisica |
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1 online resource (XXIII, 474 p. 269 illus., 110 illus. in color.) |
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Disciplina |
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Soggetti |
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Econometrics |
Big data |
Statistics |
Big Data/Analytics |
Statistics for Business, Management, Economics, Finance, Insurance |
Statistics for Social Sciences, Humanities, Law |
Statistics and Computing/Statistics Programs |
Econometria |
Anàlisi multivariable |
Estadística econòmica |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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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Sommario/riassunto |
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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, |
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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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