Name: Statistics for Absolute Beginners: A Plain English Introduction (en Inglés)
Price: 171261.00 COP
Availability: InStock
Author: Knight, Gia
ISBN: 9781806316182

portada Statistics for Absolute Beginners: A Plain English Introduction (en Inglés)

Formato

Libro Físico

Autor

Gia Knight

Editorial

Gia Knight

Idioma

Inglés

N° páginas

224

Encuadernación

Tapa Dura

Dimensiones

22.9 x 15.2 x 1.4 cm

Peso

0.47 kg.

ISBN13

9781806316182

Categorías

Investigación social y estadística
Educación
Software de matemáticas y estadísticas

Statistics for Absolute Beginners: A Plain English Introduction (en Inglés)

Gia Knight (Autor) · Gia Knight · Tapa Dura

Libro Físico

$ 171.261

$ 285.435

Ahorras: $ 114.174

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Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Statistics for Absolute Beginners: A Plain English Introduction (en Inglés)"

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these specs of information lie dormant and useless. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes - Historical Development of Statistics - Data Sampling - Central Tendency Measures - Measures Of Spread - Measures Of Position - Designing Hypothesis Tests - Probability & Bayes Theory - Regression Analysis - Clustering AnalysisAs the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.