Illustrating statistical procedures: finding meaning in quantitative data
This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Singapore
Springer
2020
|
| Ausgabe: | Third edition |
| Schlagworte: | |
| Zusammenfassung: | This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis |
| Beschreibung: | xxv, 737 Seiten Illustrationen, Diagramme |
| ISBN: | 9789811525360 |
Internformat
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| 520 | |a This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis | ||
| 650 | 4 | |a Statistics | |
| 650 | 4 | |a Big data | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Management information systems | |
| 650 | 4 | |a Database management | |
| 650 | 4 | |a Statistics | |
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Datensatz im Suchindex
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| illustrated | Illustrated |
| index_date | 2024-07-03T14:52:30Z |
| indexdate | 2024-07-10T08:53:52Z |
| institution | BVB |
| isbn | 9789811525360 |
| language | English |
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| owner_facet | DE-29 |
| physical | xxv, 737 Seiten Illustrationen, Diagramme |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | Springer |
| record_format | marc |
| spelling | Cooksey, Ray W. Verfasser aut Illustrating statistical procedures finding meaning in quantitative data Ray W. Cooksey Third edition Singapore Springer 2020 xxv, 737 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis Statistics Big data Data mining Management information systems Database management Statistics Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Erscheint auch als Online-Ausgabe 978-981-15-2537-7 |
| spellingShingle | Cooksey, Ray W. Illustrating statistical procedures finding meaning in quantitative data Statistics Big data Data mining Management information systems Database management Statistics |
| title | Illustrating statistical procedures finding meaning in quantitative data |
| title_auth | Illustrating statistical procedures finding meaning in quantitative data |
| title_exact_search | Illustrating statistical procedures finding meaning in quantitative data |
| title_exact_search_txtP | Illustrating statistical procedures finding meaning in quantitative data |
| title_full | Illustrating statistical procedures finding meaning in quantitative data Ray W. Cooksey |
| title_fullStr | Illustrating statistical procedures finding meaning in quantitative data Ray W. Cooksey |
| title_full_unstemmed | Illustrating statistical procedures finding meaning in quantitative data Ray W. Cooksey |
| title_short | Illustrating statistical procedures |
| title_sort | illustrating statistical procedures finding meaning in quantitative data |
| title_sub | finding meaning in quantitative data |
| topic | Statistics Big data Data mining Management information systems Database management Statistics |
| topic_facet | Statistics Big data Data mining Management information systems Database management Statistics |
| work_keys_str_mv | AT cookseyrayw illustratingstatisticalproceduresfindingmeaninginquantitativedata |