- Main
- Computers - Programming
- Statistical Methods: An Introduction to...
Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis
Cheryl Ann Willard이 책이 얼마나 마음에 드셨습니까?
파일의 품질이 어떻습니까?
책의 품질을 평가하시려면 책을 다운로드하시기 바랍니다
다운로드된 파일들의 품질이 어떻습니까?
Statistical Methods: An Introduction to Basic Statistical Concepts and Analysis, Second Edition is a textbook designed for students with no prior training in statistics. It provides a solid background of the core statistical concepts taught in most introductory statistics textbooks. Mathematical proofs are deemphasized in favor of careful explanations of statistical constructs.
The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests.
Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters.
New to the second edition:
Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
The text begins with coverage of descriptive statistics such as measures of central tendency and variability, then moves on to inferential statistics. Transitional chapters on z-scores, probability, and sampling distributions pave the way to understanding the logic of hypothesis testing and the inferential tests that follow. Hypothesis testing is taught through a four-step process. These same four steps are used throughout the text for the other statistical tests presented including t tests, one- and two-way ANOVAs, chi-square, and correlation. A chapter on nonparametric tests is also provided as an alternative when the requirements cannot be met for parametric tests.
Because the same logical framework and sequential steps are used throughout the text, a consistency is provided that allows students to gradually master the concepts. Their learning is enhanced further with the inclusion of "thought questions" and practice problems integrated throughout the chapters.
New to the second edition:
Chapters on factorial analysis of variance and non-parametric techniques for all data Additional and updated chapter exercises for students to test and demonstrate their learning Full instructor resources: test bank questions, Powerpoint slides, and an Instructor Manual
카테고리:
년:
2020
판:
2
출판사:
Routledge
언어:
english
ISBN 10:
0367203510
ISBN 13:
9780367203511
파일:
PDF, 18.56 MB
개인 태그:
IPFS:
CID , CID Blake2b
english, 2020
온라인으로 읽기
- 다운로드
- pdf 18.56 MB Current page
- Checking other formats...
- (으)로 변환하기
- 용량이 8 MB를 초과하는 파일들의 변환 잠금을 해제하십시오Premium
파일이 귀하의 이메일로 송부 됩니다. 1-5분 소요됩니다.
1~5분 이내로 파일이 사용자님의 Telegram 계정으로 전송될 것입니다.
주의: 자신의 계정이 Z-Library Telegram 봇과 연결되어 있는지 확인하십시오.
1~5분 이내로 파일이 사용자님의 Kindle 기기로 전송될 것입니다.
비고: Kindle로 보내시는 책은 모두 확인해 보실 필요가 있습니다. 메일함에 Amazon Kindle Support로부터 확인 메일이 도착했는지 메일함을 점검해 보시기 바랍니다.
로의 변환이 실행 중입니다
로의 변환이 실패되었습니다