Business statistics made easy in SAS / Gregory Lee.
By: Lee, Gregory [author.].
Publisher: Cary, NC, USA : SAS Institute Inc., [2015]Copyright date: �2015Description: 1 online resource : illustrations.Content type: text Media type: computer Carrier type: online resourceISBN: 9781629598413.Subject(s): SAS (Computer file) | Business enterprises -- Data processing | Mathematical statisticsGenre/Form: Print books.DDC classification: 658/.05 Online resources: Online book Summary: This book is designed to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS, and basic statistics (descriptive statistics and basic associational statistics). It provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. It teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. -- Edited summary from book.Current location | Call number | Status | Date due | Barcode | Item holds |
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On Shelf | HF5548.2 .L44 2015 (Browse shelf) | Available | AU0000000005378 |
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Includes bibliographical references and index.
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This book is designed to teach businesspeople, students, and others core statistical concepts and applications. It begins with absolute core principles and takes you through an overview of statistics, data and data collection, an introduction to SAS, and basic statistics (descriptive statistics and basic associational statistics). It provides an overview of statistical modeling, effect size, statistical significance and power testing, basics of linear regression, introduction to comparison of means, basics of chi-square tests for categories, extrapolating statistics to business outcomes, and some topical issues in statistics, such as big data, simulation, machine learning, and data warehousing. It teaches the core ideas of statistics through methods such as careful, intuitive written explanations, easy-to-follow diagrams, step-by-step technique implementation, and interesting metaphors. -- Edited summary from book.
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