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Add to basketpaperback. Condition: Very Good. Statistical testing with jamovi and JASP open source software Psychology (Statistics without Mathematics) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Add to basketpaperback. Condition: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.
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Seller: Grand Eagle Retail, Mason, OH, U.S.A.
Paperback. Condition: new. Paperback. FeaturesWorked examples from psychologyClearly written, without mathematical formulaeWell-structured, for beginners and intermediate readersComprehensive chapter on categorical analysis- not just 'Chi squared'Effect sizes and confidence intervalsClear explanation of factor analysisCovers MANOVA, logistic regression and survival analysisIntroduces Bayesian statisticsReproduces a well-received short chapter on making presentationsData sets and case studies on the website Statistics for psychology students at university, at beginners and intermediate level, using open source statistical software. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
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Hardcover. Condition: new. Hardcover. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines. Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. The book features coverage on a broad range of topics, including cluster analysis, time series forecasting, and machine learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
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Published by Business Science Reference 2020-02-28, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827682 ISBN 13: 9781799827689
Language: English
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Seller: AussieBookSeller, Truganina, VIC, Australia
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Add to basketPaperback. Condition: new. Paperback. FeaturesWorked examples from psychologyClearly written, without mathematical formulaeWell-structured, for beginners and intermediate readersComprehensive chapter on categorical analysis- not just 'Chi squared'Effect sizes and confidence intervalsClear explanation of factor analysisCovers MANOVA, logistic regression and survival analysisIntroduces Bayesian statisticsReproduces a well-received short chapter on making presentationsData sets and case studies on the website Statistics for psychology students at university, at beginners and intermediate level, using open source statistical software. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Published by Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Language: English
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Seller: Rarewaves.com USA, London, LONDO, United Kingdom
First Edition
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Add to basketHardback. Condition: New. 1st. With the development of computing technologies in today's modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data.Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python. Featuring coverage on a broad range of topics such as cluster analysis, time series forecasting, and machine learning, this book is ideally designed for researchers, developers, practitioners, engineers, academicians, scholars, and students who want to more fully understand in a brief and concise format the realm and technologies of open source software for big data and how it has been used to solve large-scale research problems in a multitude of disciplines.
Published by Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Language: English
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Published by Engineering Science Reference, 2020
ISBN 10: 1799827690 ISBN 13: 9781799827696
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.