Description

Business Statistics: Communicating with Numberstakes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

Business Statistics Communicating with Numbers ISE

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Paperback by Sanjiv Jaggia

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Business Statistics: Communicating with Numberstakes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is... Read more

    Publisher: McGraw-Hill Education
    Publication Date: 1/20/2024
    ISBN13: 9781266802508, 978-1266802508
    ISBN10: 1266802509

    Non Fiction , Business, Finance & Law

    Description

    Business Statistics: Communicating with Numberstakes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

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