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Introduction to statistics and data analysis / Roxy Peck, Chris Olsen, Jay L. Devore.

By: Peck, Roxy., authorContributor(s): Olsen, Chris., author | Devore, Jay L., authorMaterial type: TextTextPublisher: Singapore : Cengage Learning Asia Pte Ltd, 2019Edition: Fifth edition, Philippine editionDescription: xxvii, 809 pages : illustrations ; 26 cmISBN: 9789814878135Subject(s): Statisics | Mathematical statisticsLOC classification: QA 276.12 | P43 2019
Contents:
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.
Summary: 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.
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Book Book Cavite State University - CCAT Campus
Book GCS CIR QA 276.12 P43 2019 (Browse shelf) c.1 Available R0012002
Book Book Cavite State University - CCAT Campus
Book GCS CIR QA 276.12 P43 2019 (Browse shelf) c.2 Available R0012003

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.

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