Statistical thinking: analyzing data in an uncertain world (Record no. 59237)

MARC details
000 -LEADER
fixed length control field 02108 a2200229 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780691218441
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5 POL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Poldrack, Russell A
245 ## - TITLE STATEMENT
Title Statistical thinking: analyzing data in an uncertain world
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Princeton, New Jersey:
Name of publisher, distributor, etc Princeton University Press,
Date of publication, distribution, etc 2023.
300 ## - PHYSICAL DESCRIPTION
Extent ix, 264p.:
Other physical details ill.; pbk.:
Dimensions 25cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes Bibliography and Index
520 ## - SUMMARY, ETC.
Summary, etc Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data. Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data.<br/><br/>Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data<br/>Presents a model of statistics that ties together a broad range of statistical techniques that can be used to answer many different kinds of questions<br/>Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice<br/>Includes a wealth of examples using real-world data<br/>Accompanied by computer code in R and in Python—freely available online—that enables students to see how each example is generated and to code their own analyses<br/><br/>https://press.princeton.edu/books/paperback/9780691218441/statistical-thinking
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Social Sciences
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Psychology
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Visualization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Reproducible Research
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multivariate Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Categorial Relationship
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last borrowed Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 22/09/2023 CBS Books 3268.26 1 519.5 POL 033443 10/11/2023 11/10/2023 1 3268.26 Books


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