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210622s2021 sz o 001 0 eng d |
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|z 9783030506247
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|a 10.1007/978-3-030-50625-4
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|a HCDD
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|a Wooditch, Alese,
|e author.
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|a A beginner's guide to statistics for criminology and criminal justice using R /
|c Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton.
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|a Cham, Switzerland :
|b Springer,
|c 2021.
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300 |
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|a 1 online resource (1 volume)
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336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|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.
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|a Includes index,
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|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).
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|a Print version record.
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650 |
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|a Criminal statistics.
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|a Criminal justice, Administration of
|x Statistical methods.
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650 |
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|a R (Computer program language)
|x Statistical methods.
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|a Criminal justice, Administration of
|x Statistical methods
|2 fast
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|a Criminal statistics
|2 fast
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1 |
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|a Johnson, Nicole J.,
|e author.
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1 |
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|a Solymosi, Reka,
|e author.
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1 |
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|a Medina, Juan J.
|q (Juan José),
|e author.
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1 |
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|a Langton, Samuel,
|e author.
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758 |
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|i has work:
|a A beginner's guide to statistics for criminology and criminal justice using R (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCFJkYFMHhKvhb7jtmqtWj3
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
0 |
8 |
|i Print version:
|a Wooditch, Alese.
|t Beginner's guide to statistics for criminology and criminal justice using R.
|d Cham : Springer, 2020
|z 9783030506247
|w (OCoLC)1222781691
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856 |
4 |
0 |
|u https://holycross.idm.oclc.org/login?auth=cas&url=https://link.springer.com/10.1007/978-3-030-50625-4
|y Click for online access
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|a SPRING-LAW2021
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|a 92
|b HCD
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