Simple statistical tests for geography
Material type: TextPublication details: London CRC Press 2017Description: xxiii, 334pISBN: 9781498758819 Subject(s): Geography--Statistical methodsDDC classification: 519.5 Summary: This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student’s t-tests, correlation and regression are also covered. Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.Item type | Current library | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
BK | Stack | 519.5 MCC/S (Browse shelf (Opens below)) | Available | 51309 |
Browsing Kannur University Central Library shelves, Shelving location: Stack Close shelf browser (Hides shelf browser)
519.5 LEV/S Statistics for management | 519.5 LEV/S Statistics for managers using microsoft excel | 519.5 MAG/C Computerized adaptive and multistage testing with R : using packages catr and mstr | 519.5 MCC/S Simple statistical tests for geography | 519.5 MEI/D Deconvolution problems in nonparametric statistics / | 519.5 MON/A Applied statistics and probability for engineers / | 519.5 NAV/B Business statistics |
This book is aimed directly at students of geography, particularly those who lack confidence in manipulating numbers. The aim is not to teach the mathematics behind statistical tests, but to focus on the logic, so that students can choose the most appropriate tests, apply them in the most convenient way and make sense of the results. Introductory chapters explain how to use statistical methods and then the tests are arranged according to the type of data that they require. Diagrams are used to guide students toward the most appropriate tests. The focus is on nonparametric methods that make very few assumptions and are appropriate for the kinds of data that many students will collect. Parametric methods, including Student’s t-tests, correlation and regression are also covered.
Although aimed directly at geography students at senior undergraduate and graduate level, this book provides an accessible introduction to a wide range of statistical methods and will be of value to students and researchers in allied disciplines including Earth and environmental science, and the social sciences.
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