Applied Statistics and Multivariate Data Analysis for Business and Economics is popular PDF and ePub book, written by Thomas Cleff in 2019, it is a fantastic choice for those who relish reading online the Big data genre. Let's immerse ourselves in this engaging Big data book by exploring the summary and details provided below. Remember, Applied Statistics and Multivariate Data Analysis for Business and Economics can be Read Online from any device for your convenience.
Applied Statistics and Multivariate Data Analysis for Business and Economics Book PDF Summary
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.
Detail Book of Applied Statistics and Multivariate Data Analysis for Business and Economics PDF
- Author : Thomas Cleff
- Release : 28 June 2024
- Publisher : Unknown
- ISBN : 3030177688
- Genre : Big data
- Total Page : 474 pages
- Language : English
- PDF File Size : 18,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Applied Statistics and Multivariate Data Analysis for Business and Economics by Thomas Cleff, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.
