Learning statistics using R / by Randall E. Schumacker

By:

Schumacker, Randall E

Material type: Text

TextPublication details: Los Angeles : SAGE, 2015.Edition: 1st edDescription: xxiii, 623 pages : illustrations ; 23 cmISBN:

9781935864257

Subject(s):

DDC classification:

519.50285 SCL

Contents:

See contents in images

Summary: Distinguishing itself by not only teaching statistics in a straightforward and concise manner, but by also having clear explanations of how to run and utilize R, this book covers a wide range of topics from statistical topics of probability and sampling distribution to statistical theorems and chi-square.

Item type:

Books

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Barcode
Books	KU Central Library	Rack No. : 35 Shelve No. : A-01	General Stack (Issuable Books)	519.50285 SCL 2015 (Browse shelf(Opens below))	C-3 (I)	Available	53884
Books	KU Central Library	Rack No. : 16 Annex : 01 Shelve No. : A-04	Reference Section (Non-Issuable Books)	519.50285 SCL 2015 (Browse shelf(Opens below))	C-1 (NI)	Not For Loan	53886
Books	KU Central Library	Rack No. : 16 Annex : 01 Shelve No. : A-04	Reference Section (Non-Issuable Books)	519.50285 SCL 2015 (Browse shelf(Opens below))	C-2 (NI)	Not For Loan	53885

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Previous	519.5 WOI 2023 Introductory Econometrics : A Modern Approach /	519.5 WOI 2023 Introductory Econometrics : A Modern Approach /	519.5 WOI 2023 Introductory Econometrics : A Modern Approach /	519.50285 SCL 2015 Learning statistics using R /	519.535 GRQ 2013 Qualitative Data Analysis: An Introduction /	519.535 GRQ 2013 Qualitative Data Analysis: An Introduction /	519.535 GRQ 2013 Qualitative Data Analysis: An Introduction /	Next

includes bibliography, Glossary & index

See contents in images

Distinguishing itself by not only teaching statistics in a straightforward and concise manner, but by also having clear explanations of how to run and utilize R, this book covers a wide range of topics from statistical topics of probability and sampling distribution to statistical theorems and chi-square.

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