東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

A beginner's guide to statistics for...

Wooditch, Alese.

Linked to FindBook

Google Book

Amazon

博客來

A beginner's guide to statistics for criminology and criminal justice using R

Record Type:	Electronic resources : Monograph/item
Title/Author:	A beginner's guide to statistics for criminology and criminal justice using R/ by Alese Wooditch ... [et al.].
other author:	Wooditch, Alese.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xiv, 330 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Getting started -- 2. Managing your data -- 3. Data visualization -- 4. Spatiotemporal data visualization and basic crime analysis -- 5. Descriptive statistics: measures of central tendency -- 6. Descriptive statistics: measures of dispersion -- 7. Statistical inference in criminal justice research -- 8. Defining the observed significance level of a test -- 9. Hypothesis testing using the binomial distribution -- 10. Chi-square: a test commonly used for nominal-level measures -- 11. The normal distribution and its application to tests of statistical significance -- 12. Comparing means in two samples -- 13. Analysis of variance -- 14. Measures of association for nominal and ordinal variables -- 15. Measuring association for interval data -- 16. Introduction to regression analysis.
Contained By:	Springer Nature eBook
Subject:	Criminal statistics. -
Online resource:	https://doi.org/10.1007/978-3-030-50625-4
ISBN:	9783030506254

A beginner's guide to statistics for criminology and criminal justice using R
A beginner's guide to statistics for criminology and criminal justice using R[electronic resource] /by Alese Wooditch ... [et al.]. - Cham :Springer International Publishing :2021. - xiv, 330 p. :ill., digital ;24 cm.

1. Getting started -- 2. Managing your data -- 3. Data visualization -- 4. Spatiotemporal data visualization and basic crime analysis -- 5. Descriptive statistics: measures of central tendency -- 6. Descriptive statistics: measures of dispersion -- 7. Statistical inference in criminal justice research -- 8. Defining the observed significance level of a test -- 9. Hypothesis testing using the binomial distribution -- 10. Chi-square: a test commonly used for nominal-level measures -- 11. The normal distribution and its application to tests of statistical significance -- 12. Comparing means in two samples -- 13. Analysis of variance -- 14. Measures of association for nominal and ordinal variables -- 15. Measuring association for interval data -- 16. Introduction to regression analysis.

This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software, R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform. This volume will help users master the fundamentals of the R programming language, in addition to program basics. Tutorials in each chapter lay out research questions and hypotheses that center around a real criminal justice dataset, such as data from the National Youth Survey, Law Enforcement Management and Administrative Statistics (LEMAS)-Body Worn Camera Survey, the Survey of Inmates in State and Federal Correctional Facilities (SISFCF), the National Crime Victimization Survey (NCVS), the British Crime Survey/Crime Survey for England and Wales, and the Seattle Neighborhoods and Crime Survey. At the end of each chapter are exercises that reinforce the R tutorial examples, designed to help master the software, as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020)

ISBN: 9783030506254

Standard No.: 10.1007/978-3-030-50625-4doiSubjects--Topical Terms:

847093
Criminal statistics.

LC Class. No.: HV6024.5

Dewey Class. No.: 364.015195

A beginner's guide to statistics for criminology and criminal justice using R
LDR:03106nmm a2200325 a 4500 001 2244778
003 DE-He213
005 20210622043355.0
006 m d
007 cr nn 008maaau
008 211207s2021 sz s 0 eng d
020 $a 9783030506254 $q (electronic bk.)
020 $a 9783030506247 $q (paper)
024 7 $a 10.1007/978-3-030-50625-4 $2 doi
035 $a 978-3-030-50625-4
040 $a GP $c GP
041 0 $a eng
050 4 $a HV6024.5
072 7 $a JKV $2 bicssc
072 7 $a SOC004000 $2 bisacsh
072 7 $a JKV $2 thema
082 0 4 $a 364.015195 $2 23
090 $a HV6024.5 $b .B417 2021
245 0 2 $a A beginner's guide to statistics for criminology and criminal justice using R $h [electronic resource] / $c by Alese Wooditch ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 330 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Getting started -- 2. Managing your data -- 3. Data visualization -- 4. Spatiotemporal data visualization and basic crime analysis -- 5. Descriptive statistics: measures of central tendency -- 6. Descriptive statistics: measures of dispersion -- 7. Statistical inference in criminal justice research -- 8. Defining the observed significance level of a test -- 9. Hypothesis testing using the binomial distribution -- 10. Chi-square: a test commonly used for nominal-level measures -- 11. The normal distribution and its application to tests of statistical significance -- 12. Comparing means in two samples -- 13. Analysis of variance -- 14. Measures of association for nominal and ordinal variables -- 15. Measuring association for interval data -- 16. Introduction to regression analysis.
520 $a This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software, R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform. This volume will help users master the fundamentals of the R programming language, in addition to program basics. Tutorials in each chapter lay out research questions and hypotheses that center around a real criminal justice dataset, such as data from the National Youth Survey, Law Enforcement Management and Administrative Statistics (LEMAS)-Body Worn Camera Survey, the Survey of Inmates in State and Federal Correctional Facilities (SISFCF), the National Crime Victimization Survey (NCVS), the British Crime Survey/Crime Survey for England and Wales, and the Seattle Neighborhoods and Crime Survey. At the end of each chapter are exercises that reinforce the R tutorial examples, designed to help master the software, as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020)
650 0 $a Criminal statistics. $3 847093
650 0 $a Criminal justice, Administration of $x Statistical methods. $3 3505977
650 0 $a R (Computer program language) $x Statistical methods. $3 2169042
650 1 4 $a Research Methods in Criminology. $3 3299964
650 2 4 $a Statistics and Computing/Statistics Programs. $3 894293
700 1 $a Wooditch, Alese. $3 3505976
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-50625-4
950 $a Law and Criminology (SpringerNature-41177)