While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Hardback \ William Patrick Martin; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
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(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Paperback \ G. Calvin Mackenzie; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
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No. 9781439817667. Versandkosten:10671, Despatched same working day before 3pm, zzgl. Versandkosten. Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Hardback \ Paul Bourcier; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
hive.co.uk
No. 9781439817667. Versandkosten:10671, Despatched same working day before 3pm, zzgl. Versandkosten. Details...
(*) Derzeit vergriffen bedeutet, dass dieser Titel momentan auf keiner der angeschlossenen Plattform verfügbar ist.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data. More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results. Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics. Computers Computers eBook, CRC Press<
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Hardback \ William Patrick Martin; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
- No. 9781439817667. Versandkosten:10671, Despatched same working day before 3pm, zzgl. Versandkosten.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Paperback \ G. Calvin Mackenzie; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
- No. 9781439817667. Versandkosten:10671, Despatched same working day before 3pm, zzgl. Versandkosten.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool.As with written material, there are almost always differences between the meaning of the original text and translated text.Additionally, many versions can be suggested, each with their advantages and disadvantages.Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations.As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure.Although syntax is vital, understanding the semantics is the real challenge of any good translation.In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations.Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand.Sometimes data sets contain errors, inconsistencies between answers, or missing data.More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results.Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics.; Hardback \ Paul Bourcier; Reference > Research & information: general > Research methods: general, Rowman & Littlefield<
- No. 9781439817667. Versandkosten:10671, Despatched same working day before 3pm, zzgl. Versandkosten.
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of v… Mehr…
While theoretical statistics relies primarily on mathematics and hypothetical situations, statistical practice is a translation of a question formulated by a researcher into a series of variables linked by a statistical tool. As with written material, there are almost always differences between the meaning of the original text and translated text. Additionally, many versions can be suggested, each with their advantages and disadvantages. Analysis of Questionnaire Data with R translates certain classic research questions into statistical formulations. As indicated in the title, the syntax of these statistical formulations is based on the well-known R language, chosen for its popularity, simplicity, and power of its structure. Although syntax is vital, understanding the semantics is the real challenge of any good translation. In this book, the semantics of theoretical-to-practical translation emerges progressively from examples and experience, and occasionally from mathematical considerations. Sometimes the interpretation of a result is not clear, and there is no statistical tool really suited to the question at hand. Sometimes data sets contain errors, inconsistencies between answers, or missing data. More often, available statistical tools are not formally appropriate for the given situation, making it difficult to assess to what extent this slight inadequacy affects the interpretation of results. Analysis of Questionnaire Data with R tackles these and other common challenges in the practice of statistics. Computers Computers eBook, CRC Press<
1Da einige Plattformen keine Versandkonditionen übermitteln und diese vom Lieferland, dem Einkaufspreis, dem Gewicht und der Größe des Artikels, einer möglichen Mitgliedschaft der Plattform, einer direkten Lieferung durch die Plattform oder über einen Drittanbieter (Marketplace), etc. abhängig sein können, ist es möglich, dass die von eurobuch angegebenen Versandkosten nicht mit denen der anbietenden Plattform übereinstimmen.
Addressing the problem of inefficient collection and analysis of questionnaire data, this book proposes a methodology that uses R software. The author takes a practical approach to the subject, presenting principles first followed by detailed examples of their application to real data. He discusses principles of good questionnaire design, data management, capture, and manipulation and covers descriptive statistics, scoring, reliability, and missing data. The book focuses on R packages that are readily available and integrates discussion of their implementation and code throughout. All the data sets and R code packages are provided on a website.
Detailangaben zum Buch - Analysis of Questionnaire Data with R
EAN (ISBN-13): 9781439817667 ISBN (ISBN-10): 1439817669 Gebundene Ausgabe Taschenbuch Erscheinungsjahr: 2011 Herausgeber: Taylor & Francis Inc
Buch in der Datenbank seit 2012-01-06T10:47:30+01:00 (Berlin) Detailseite zuletzt geändert am 2020-06-16T10:26:02+02:00 (Berlin) ISBN/EAN: 9781439817667
ISBN - alternative Schreibweisen: 1-4398-1766-9, 978-1-4398-1766-7 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: bruno, falissard Titel des Buches: data net ufo, with
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