ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: Wiley] Hardcover Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.
[Montgomery, IL, U.S.A.] [Publication Year: 2020]

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: Wiley] Hardcover
[Bayonne, NJ, U.S.A.] [Publication Year: 2020]
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ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley & Sons] Hardcover ROBERTO RIVERA, PHD, is a Professor, at the College of Business, University of Puerto Rico, Mayagueez. He received his PhD in Statistics from the University of California, Santa Barbara. He founded the Puerto Rico Chapter of the American Statistical Associat.
[Greven, Germany] [Publication Year: 2020]
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Hardback. New. Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on driver's race Visualizing the association between fat percentage and moisture percentage in Canadian cheese Modeling taxi fares in Chicago using data from millions of rides Analyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include: data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression are also included. In addition, the book offers contingency tables, Chi-square ...

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: Wiley] Hardcover
[Castle Donington, DERBY, United Kingdom] [Publication Year: 2020]
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ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: Wiley-Blackwell 2020-01-16] Hardcover
[Wallingford, United Kingdom] [Publication Year: 2020]

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley and Sons Ltd] Hardcover New copy - Usually dispatched within 4 working days.
[Southport, United Kingdom] [Publication Year: 2020]

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley & Sons Inc, New York] Hardcover Hardcover. Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on drivers raceVisualizing the association between fat percentage and moisture percentage in Canadian cheeseModeling taxi fares in Chicago using data from millions of ridesAnalyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression ...
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ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley & Sons Inc] Hardcover First Edition 2020. 1st Edition. Hardback. . . . . .
[Galway, GY, Ireland] [Publication Year: 2020]

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley & Sons Inc, New York] Hardcover Hardcover. Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on drivers raceVisualizing the association between fat percentage and moisture percentage in Canadian cheeseModeling taxi fares in Chicago using data from millions of ridesAnalyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression ...
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Wiley 2020 Hard cover New 2020. 1st Edition. Hardback......We ship daily from our Bookshop.

ISBN10: 1119486416, ISBN13: 9781119486411, [publisher: John Wiley & Sons Inc, New York] Hardcover Hardcover. Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, and data wrangling. Chapters include multiple examples showing the application of the theoretical aspects presented. It features practice problems designed to ensure that readers understand the concepts and can apply them using real data. Over 100 open data sets used for examples and problems come from regions throughout the world, allowing the instructor to adapt the application to local data with which students can identify. Applications with these data sets include: Assessing if searches during a police stop in San Diego are dependent on drivers raceVisualizing the association between fat percentage and moisture percentage in Canadian cheeseModeling taxi fares in Chicago using data from millions of ridesAnalyzing mean sales per unit of legal marijuana products in Washington state Topics covered in Principles of Managerial Statistics and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation; confidence intervals; and hypothesis testing. Analysis of variance; simple linear regression; and multiple linear regression ...