Statistical thinking: analyzing data in an uncertain world

By:

Poldrack, Russell A

Publication details: Princeton, New Jersey: Princeton University Press, 2023.Description: ix, 264p.: ill.; pbk.: 25cmISBN:

9780691218441

Subject(s):

DDC classification:

519.5 POL

Summary: 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. Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data 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 Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice Includes a wealth of examples using real-world data 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 https://press.princeton.edu/books/paperback/9780691218441/statistical-thinking

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar	General	519.5 POL (Browse shelf(Opens below))	1	Available		033443

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Previous	519.5 LIM Introduction to Kolmogorov complexity and its applications	519.5 PEA Causal inference in statistics: a primer	519.5 PIS Algebraic statistics: computational commutative algebra in statistics	519.5 POL Statistical thinking: analyzing data in an uncertain world	519.5 RAJ Statistics for social sciences	519.5 ROS Introduction to probability and statistics for Engineers and Scientists, 4th ed.	519.5 ROS Introduction to probability and statistics for Engineers and Scientists, 4th ed.	Next

Includes Bibliography and Index

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.

Introduces statistics from a uniquely modern standpoint, helping students to use the basic ideas of statistics to analyze real data
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
Explains how to use statistics to generate reproducible findings and avoid common mistakes in statistical practice
Includes a wealth of examples using real-world data
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

https://press.princeton.edu/books/paperback/9780691218441/statistical-thinking

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