BIBFRAME Work

Title

Statistics

Type

• Monograph
• Text

Contribution

• McClave, James T. (author )
• Sincich, Terry (author )

Subject

• Statistics (LCSH)

Language

• eng

Illustrative Content

• illustrations

Classification

• DDC: 519.5 (Assigner: dlc)
• LCC: QA276.12 .M4 2021 (Assigner: dlc) (Status: uba)

Content

• text

Supplementary content

• index

Summary

"Preface This 13th edition of Statistics is an introductory text emphasizing inference, with extensive coverage of data collection and analysis as needed to evaluate the reported results of statistical studies and make good decisions. As in earlier editions, the text stresses the development of statistical thinking, the assessment of credibility, and the value of the inferences made from data, both by those who consume and those who produce them. It assumes a mathematical background of basic algebra. The text incorporates the following features, developed from the American Statistical Association's (ASA) Guidelines for Assessment and Instruction in Statistics Education (GAISE) Project: Emphasize statistical literacy and develop statistical thinking Use real data in applications Use technology for developing conceptual understanding and analyzing data Foster active learning in the classroom Stress conceptual understanding rather than mere knowledge of procedures Emphasize intuitive concepts of probability A briefer version of the book, A First Course in Statistics, is available for single semester courses that include minimal coverage of regression analysis, analysis of variance, and categorical data analysis"-- Provided by publisher.

Table of Contents

Statistics, data, and statistical thinking -- Methods for describing sets of data -- Probability -- Discrete random variables -- Continuous random variables -- Sampling distributions -- Inferences based on a single sample : estimation with confidence intervals -- Inferences based on a single sample : tests of hypothesis-- Inferences based on two samples : confidence intervals and tests of hypotheses -- Analysis of variance : comparing more than two means -- Simple linear regression -- Multiple regression and model building -- Categorical data analysis -- Nonparametric statistics (available online).

Authorized Access Point

McClave, James T. Statistics

Admin Metadata

• Date: 2026-09-11T20:12:00.118973+00:00
• Agent: cbc
• Status: c
• Derived from: 21221860

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc