MARC details
000 -LEADER |
fixed length control field |
02577nam a22003617a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ZW-GwMSU |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20200714104333.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
200710b ||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781473924895 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1473924898 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781473924901 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
1473924901 |
040 ## - CATALOGING SOURCE |
Language of cataloging |
English |
Transcribing agency |
MSU |
Description conventions |
rda |
041 ## - |
-- |
eng |
050 ## - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA276.45.R3 STI |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Stinerock, Robert Noel |
Relator term |
Author |
245 10 - TITLE STATEMENT |
Title |
Statistics with R : |
Remainder of title |
a beginner's guide |
Statement of responsibility, etc |
Robert Stinerock |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Los Angeles |
Name of publisher, distributor, etc |
Sage |
Date of publication, distribution, etc |
2018 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
369 pages |
Other physical details |
illustrations |
Dimensions |
24 cm |
336 ## - CONTENT TYPE |
content type term |
text |
Source |
rdacontent |
337 ## - MEDIA TYPE |
media type term |
unmediated |
media type code |
n |
source |
rdamedia |
338 ## - CARRIER TYPE |
carrier type term |
volume |
carrier type code |
nc |
source |
rdacarrier |
505 00 - FORMATTED CONTENTS NOTE |
Miscellaneous information |
1. Introduction and R Instructions -- 2. Descriptive Statistics: Tabular and Graphical Methods -- 3. Descriptive Statistics: Numerical Methods -- 4. Introduction to Probability -- 5. Discrete Probability Distributions -- 6. Continuous Probability Distributions -- 7. Point Estimation and Sampling Distributions -- 8. Confidence Interval Estimation -- 9. Hypothesis Tests: Introduction, Basic Concepts, and an Example -- 10. Hypothesis Tests About Means and Proportions: Applications -- 11. Comparisons of Means and Proportions -- 12. Simple Linear Regression -- 13. Multiple Regression |
520 ## - SUMMARY, ETC. |
Summary, etc |
"The dynamic, student focused textbook provides step-by-step instruction in the use of R and of statistical language as a general research tool. It is ideal for anyone hoping to: Complete an introductory course in statistics Prepare for more advanced statistical courses Gain the transferable analytical skills needed to interpret research from across the social sciences Learn the technical skills needed to present data visually Acquire a basic competence in the use of R. The book provides readers with the conceptual foundation to use applied statistical methods in everyday research. Each statistical method is developed within the context of practical, real-world examples and is supported by carefully developed pedagogy and jargon-free definitions. Theory is introduced as an accessible and adaptable tool and is always contextualized within the pragmatic context of real research projects and definable research questions"-- |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Data processing |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Computer programs |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Data processing. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics |
General subdivision |
Computer programs. |
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
54.53 programming languages. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Library of Congress Classification |
Koha item type |
Book |