• library@msu.ac.th
• Academic Resource Center Mahasarakham University
• library@msu.ac.th
• Academic Resource Center Mahasarakham University
หมวดหมู่

### Statistical Methods for Geography A Student’s Guide, 5Ed

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets.

ใส่ตะกร้า
• ISBN9781526498809
• ประเภท E-Book
• ผู้แต่ง Peter A. Rogerson
• สำนักพิมพ์ SAGE
• ครั้งที่พิมพ์ 1
• ปีที่พิมพ์2019
• ภาษาภาษาอังกฤษ
• หมวดหมู่ภูมิศาสตร์
###### : ข้อมูลหนังสือ

Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible statistics ‘101’ focused on student learning, and includes definitions, examples, and exercises throughout. Fully integrated with online self-assessment exercises and video overviews, it explains everything required to get full credits for any undergraduate statistics module. The fifth edition of this bestselling text includes: · Coverage of descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. · New examples from physical geography and additional real-world examples. · Updated in-text and online exercises along with downloadable datasets.