Basic Statistics with R : Reaching Decisions with Data

Stephen C Loftus

ISBN 10: 0128207884 / ISBN 13: 9780128207888

Verlag: Elsevier Science Mär 2021, 2021

Beschreibung

Neuware - Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples.

Bestandsnummer des Verkäufers 9780128207888

Bibliografische Details

• Titel: Basic Statistics with R : Reaching Decisions with Data
• Verlag: Elsevier Science Mär 2021
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 0128207884
• ISBN-13: 9780128207888
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area. In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines.

Über die Autorin bzw. den Autor

Dr. Stephen Loftus is an Analyst in Research & Development for the Atlanta Braves. Prior to this, he held academic positions at Randolph-Macon College and Sweet Briar College. In his experience in academia and industry, Dr. Loftus has spent a great deal of time studying and developing Bayesian models for a variety of projects. These highly collaborative projects range from analysis in baseball to studies in numerical ecology. In developing these models, he found himself, on many occasions, needing to explain not only the decisions made in making these models, but also the rationale behind the Bayesian philosophy of statistics to individuals with diverse mathematical backgrounds.