Peck, Roxy., author.
Introduction to statistics and data analysis / Roxy Peck, Chris Olsen, Jay L. Devore. - Fifth edition, Philippine edition - Singapore : Cengage Learning Asia Pte Ltd, 2019. - xxvii, 809 pages : illustrations ; 26 cm
Includes answers to selected odd-numbered exercises.
Includes bibliographical references.
The role of statistics and the data analysis process --Collecting data sensibly --Graphical methods for describing data --Numerical methods for describing data --Summarizing bivariate data --Probability --Random variables and probability distributions --Sampling variability and sampling distributions --Estimation using a single sample --Hypothesis testing using a single sample --Comparing two populations or treatments --The analysis of categorical data and goodness-of-fit tests --Simple linear regression and correlation: inferential methods --Multiple regression analysis --Analysis of variance --Nonparamentric (distribution-free) statistical methods.
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension. You'll also find coverage of most major technologies as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics first hand.
English text.
9789814878135
Statisics.
Mathematical statistics.
QA 276.12 / P43 2019
Introduction to statistics and data analysis / Roxy Peck, Chris Olsen, Jay L. Devore. - Fifth edition, Philippine edition - Singapore : Cengage Learning Asia Pte Ltd, 2019. - xxvii, 809 pages : illustrations ; 26 cm
Includes answers to selected odd-numbered exercises.
Includes bibliographical references.
The role of statistics and the data analysis process --Collecting data sensibly --Graphical methods for describing data --Numerical methods for describing data --Summarizing bivariate data --Probability --Random variables and probability distributions --Sampling variability and sampling distributions --Estimation using a single sample --Hypothesis testing using a single sample --Comparing two populations or treatments --The analysis of categorical data and goodness-of-fit tests --Simple linear regression and correlation: inferential methods --Multiple regression analysis --Analysis of variance --Nonparamentric (distribution-free) statistical methods.
INTRODUCTION TO STATISTICS AND DATA ANALYSIS introduces to the study of statistics and data analysis by using real data and attention-grabbing examples. The authors guide through an intuition-based learning process that stresses interpretation and communication of statistical information. Simple notation--including frequent substitution of words for symbols--helps you grasp concepts and cement your comprehension. You'll also find coverage of most major technologies as a problem-solving tool, plus hands-on activities in each chapter that allow you to practice statistics first hand.
English text.
9789814878135
Statisics.
Mathematical statistics.
QA 276.12 / P43 2019