Loftus S.C. (2022). Basic statistics with R reaching decisions with data. Londres (Royaume-Uni) : Academic Press. 270 p.
https://doi.org/10.1016/C2019-0-02466-1
https://doi.org/10.1016/C2019-0-02466-1
Titre : | Basic statistics with R reaching decisions with data |
Auteurs : | S.C. Loftus |
Type de document : | E-Book |
Editeur : | Londres [Royaume-Uni] : Academic Press, 2022 |
ISBN/ISSN/EAN : | 978-0-12-820788-8 |
Format : | 270 p. |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 03 - POLITIQUE ET THEORIE ECONOMIQUE ; 3.7 - Méthodes et Modèles Economiques et StatistiquesThésaurus IAMM LOGICIEL ; DONNEE STATISTIQUE ; ANALYSE DE DONNEES ; TRAITEMENT DES DONNEES ; AIDE A LA DECISION ; COLLECTE DE DONNEES ; METHODE STATISTIQUE ; LANGAGE |
Résumé : |
Basic Statistics with R: Reaching Decisions with Data provides an understanding of the processes at work in using data for results. Sections cover data collection and discuss exploratory analyses, including visual graphs, numerical summaries, and relationships between variables - basic probability, and statistical inference - including hypothesis testing and confidence intervals. All topics are taught using real-data drawn from various fields, including economics, biology, political science and sports. Using this wide variety of motivating examples allows students to directly connect and make statistics essential to their field of interest, rather than seeing it as a separate and ancillary knowledge area.
In addition to introducing students to statistical topics using real data, the book provides a gentle introduction to coding, having the students use the statistical language and software R. Students learn to load data, calculate summary statistics, create graphs and do statistical inference using R with either Windows or Macintosh machines. |
Note de contenu : |
PART I: AN INTRODUCTION TO STATISTICS AND R
Chapter 1 - What is statistics and why is it important? Chapter 2 - An introduction to R PART II: COLLECTING DATA AND LOADING IT INTO R Chapter 3 - Data collection: methods and concerns Chapter 4 - R tutorial: subsetting data, random numbers, and selecting a random sample Chapter 5 - R tutorial: libraries and loading data into R PART III: EXPLORING AND DESCRIBING DATA Chapter 6 - Exploratory data analyses: describing our data Chapter 7 - R tutorial: EDA in R PART IV: MECHANISMS OF INFERENCE Chapter 8 - An incredibly brief introduction to probability Chapter 9 - Sampling distributions, or why exploratory analyses are not enough Chapter 10 - The idea behind testing hypotheses Chapter 11 - Making hypothesis testing work with the central limit theorem Chapter 12 - The idea of interval estimates PART V: STATITICAL INFERENCE Chapter 13 - Hypothesis tests for a single parameter Chapter 14 - Confidence intervals for a single parameter Chapter 15 - Hypothesis tests for two parameters Chapter 16 - Confidence intervals for two parameters Chapter 17 - R tutorial: statistical inference in R Chapter 18 - Inference for two quantitative variables Chapter 19 - Simple linear regression Chapter 20 - Statistics: the world beyond this book |
Cote : | E11-LOF-2022 |
URL / DOI : | https://doi.org/10.1016/C2019-0-02466-1 |
Exemplaires (1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
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28531 | E11-LOF-2022 | Papier | Centre de documentation | Espace Thématique | Disponible |