Starting Out in Statistics
Autor Patricia De Winter, Peter M B Cahusacen Limba Engleză Paperback – 10 noi 2014
This textbook deftly covers a topic that many students find difficult. With an engaging and accessible style it provides the necessary background and tools for students to use statistics confidently and creatively in their studies and future career.
Key features:
- Up-to-date methodology, techniques and current examples relevant to the analysis of large data sets, putting statistics in context
- Strong emphasis on experimental design
- Clear illustrations throughout that support and clarify the text
- A companion website with explanations on how to apply learning to related software packages
Preț: 276.52 lei
Puncte Express: 415
Preț estimativ în valută:
48.95€ • 57.10$ • 42.38£
48.95€ • 57.10$ • 42.38£
Carte disponibilă
Livrare economică 05-19 februarie
Livrare express 21-27 ianuarie pentru 32.59 lei
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781118384015
ISBN-10: 1118384016
Pagini: 320
Ilustrații: illustrations
Dimensiuni: 170 x 241 x 18 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
ISBN-10: 1118384016
Pagini: 320
Ilustrații: illustrations
Dimensiuni: 170 x 241 x 18 mm
Greutate: 0.48 kg
Editura: Wiley
Locul publicării:Chichester, United Kingdom
Public țintă
Primary Market: Undergraduates studying human centric courses in biomedical and social sciences. Courses might include BSc Psychological Sciences, Biological Sciences, Biomedical Sciences Secondary Market: Graduate students in the same areas Oxford University has a Human Sciences Society , there are several other human–sciences related books on Amazon so while this link isn t immediately obvious it is also not an unheard of link.Descriere
To form a strong grounding in human-related sciences it is essential for students to grasp the fundamental concepts of statistical analysis, rather than simply learning to use statistical software. This textbook features methodology, techniques and examples relevant to the analysis of large data sets, putting statistics in context.