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Introduction to statistics and data analysis / Roxy Peck, Tom Short, Chris Olsen.

By: Peck, Roxy.
Contributor(s): Short, Tom | Olsen, Chris.
Publisher: Boston, MA : Cengage Learning, ©2020Edition: 6th edition.Description: xx, 852 pages : illustrations (chiefly color) ; 29 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781337793612 (hbk).Subject(s): Statistics | Mathematical statisticsDDC classification: 519.5 P33 2020
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 -- Nonparametric (distribution-free) statistical methods.
Summary: Traditional in structure yet modern in approach, this fully updated edition uses real data, examples, and an intuition-based learning process to guide students through the study of statistics and data analysis.
Item type Current location Collection Call number Status Date due Barcode
Books Books College Library
General Circulation Section
GC GC 519.5 P33 2020 (Browse shelf) Available HNU000935

Includes index.

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 --
Nonparametric (distribution-free) statistical methods.

Traditional in structure yet modern in approach, this fully updated edition uses real data, examples, and an intuition-based learning process to guide students through the study of statistics and data analysis.

College of Engineering and Computer Studies Bachelor of Science in Civil Engineering

Text in English

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