Stephen C Loftus

Basic Statistics with R

Reaching Decisions with Data

• Broschiertes Buch

Produktbeschreibung

Features real-data to give students an engaging practice to connect with their areas of interest Evolves from basic problems that can be worked by hand to the elementary use of opensource R software Offers a direct, clear approach highlighted by useful visuals and examples

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 304
• Erscheinungstermin: 8. März 2021
• Englisch
• Abmessung: 226mm x 151mm x 15mm
• Gewicht: 508g
• ISBN-13: 9780128207888
• ISBN-10: 0128207884
• Artikelnr.: 61445191

Autorenporträt

Dr. Stephen Loftus is an Analyst in Research & Development for the Atlanta Braves. Prior to this, he held academic positions at Randolph-Macon College and Sweet Briar College. In his experience in academia and industry, Dr. Loftus has spent a great deal of time studying and developing Bayesian models for a variety of projects. These highly collaborative projects range from analysis in baseball to studies in numerical ecology. In developing these models, he found himself, on many occasions, needing to explain not only the decisions made in making these models, but also the rationale behind the Bayesian philosophy of statistics to individuals with diverse mathematical backgrounds.

Inhaltsangabe

1. Statistics: What is it and Why is it Important? 2. An Introduction to R
3. Data Collection: Methods and Concerns 4. R Tutorial: Subsetting Data 5.
Exploratory Data Analyses (EDA) 6. Libraries, Loading Data, and EDA in R 7.
An Incredibly Brief Introduction to Probability 8. Sampling Distributions,
or Why EDA is not Enough 9. The Idea of Hypothesis Testing 10. Hypothesis
Testing with the Central Limit Theorem 11. Introduction to Confidence
Intervals 12. One Sample Hypothesis Tests 13. Confidence Intervals for a
Single Parameter 14. Two Sample Hypothesis Tests 15. Confidence Intervals
for Two Parameters 16. Hypothesis Testing and Confidence Intervals in R 17.
Statistics: The World Beyond This Book