How to make sense of statistics / (Record no. 41007)

MARC details
000 -LEADER
fixed length control field 02619nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field CUTN
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20231218122827.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231218b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781526413826
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781526413819
041 ## - LANGUAGE CODE
Language English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 519.5
Item number GOR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Gorard, Stephen.
245 ## - TITLE STATEMENT
Title How to make sense of statistics /
Statement of responsibility, etc Stephen Gorard.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc London :
Name of publisher, distributor, etc Sage ;
Date of publication, distribution, etc 2021.
300 ## - PHYSICAL DESCRIPTION
Extent xxii, 289 p. ;
Other physical details ill. pbk:
Dimensions 24 cm.
505 ## - FORMATTED CONTENTS NOTE
Contents <br/>Part I: IntroductionChapter 1: Why we use numbers in researchChapter 2: What is a number?: Issues of measurementPart II: Basic analysesChapter 3: Working with one variableChapter 4: Working with tables of categorical variablesChapter 5: Examining differences between real numbersChapter 6: Significance tests: how to conduct them and what they do not meanChapter 7: Significance tests: why we should not report themPart III: Advanced issues for analysisChapter 8: The role of judgement in analysisChapter 9: Research designsChapter 10: Sampling and populationsChapter 11: What is randomness?Chapter 12: Handling missing data: The importance of what we don’t know chapter 13: Handling missing data: more complex issues Part IV: Modelling with Data Chapter 14: Errors in measurements 15: Correlating two real numbers chapter 16: Predicting measurements using simple linear regression chapter 17: Predicting measurements using multiple linear regression chapter 18: Assumptions and limitations in regression chapter 19: Predicting outcomes using logistic regression chapter 20: Data reduction techniques part V: ConclusionChapter 21: Presenting data for your audience
520 ## - SUMMARY, ETC.
Summary, etc In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables. This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type General Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Location Shelving location Date of Cataloging Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction CUTN Central Library CUTN Central Library Sciences 18/12/2023 1 2 519.5 GOR 48297 17/03/2025 15/02/2025 18/12/2023 General Books