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Elementary Statistics : A Guide to Data Analysis Using R by Daniel Vrinceanu, Nancy L. Glenn Griesinger, Monica C. Jackson and William C. Howell (2022, Trade Paperback)
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About this product
Product Identifiers
PublisherCognella, Inc.
ISBN-101793555508
ISBN-139781793555502
eBay Product ID (ePID)3057258424
Product Key Features
Number of Pages432 Pages
Publication NameElementary Statistics : a Guide to Data Analysis Using R
LanguageEnglish
SubjectGeneral
Publication Year2022
TypeTextbook
Subject AreaMathematics
AuthorDaniel Vrinceanu, Nancy L. Glenn Griesinger, Monica C. Jackson, William C. Howell
FormatTrade Paperback
Dimensions
Item Height0.9 in
Item Weight28.2 Oz
Item Length10 in
Item Width8 in
Additional Product Features
Intended AudienceScholarly & Professional
Dewey Edition23
Dewey Decimal519.50285511
SynopsisElementary Statistics: A Guide to Data Analysis Using R provides students with an introduction to both the field of statistics and R, one of the most widely used languages for statistical computing, analysis, and graphing in a variety of fields, including the sciences, finance, banking, health care, e-commerce, and marketing. Part I provides an ......, Elementary Statistics: A Guide to Data Analysis Using R provides students with an introduction to both the field of statistics and R, one of the most widely used languages for statistical computing, analysis, and graphing in a variety of fields, including the sciences, finance, banking, health care, e-commerce, and marketing. Part I provides an overview of both statistics and R. Part II focuses on descriptive statistics and probability. In Part III, students learn about discrete and continuous probability distributions with chapters addressing probability distributions, binominal probability distributions, and normal probability distributions. Part IV speaks to statistical inference with content covering confidence intervals, hypothesis testing, chi-square tests and F-distributions. The final part explores additional statistical inference and assumptions, including correlation, regression, and nonparametric statistics. Helpful appendices provide students with an index of terminology, an index of applications, a glossary of symbols, and a guide to the most common R commands. Elementary Statistics is an ideal resource for introductory courses in undergraduate statistics, graduate statistics, and data analysis across the disciplines.
LC Classification NumberQA276.45.R3
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