About this product

Product Identifiers

PublisherMcgraw-Hill Education

ISBN-101260173615

ISBN-139781260173611

eBay Product ID (ePID)242538685

Product Key Features

Number of Pages368 Pages

LanguageEnglish

Publication NameLoose Leaf for Predictive Analytics for Business Strategy

Publication Year2018

SubjectMilitary / Strategy, Decision-Making & Problem Solving

TypeTextbook

Subject AreaBusiness & Economics, History

AuthorJeff Prince

FormatRingbound

Dimensions

Item Height0.5 in

Item Weight18.4 Oz

Item Length9 in

Item Width8 in

Additional Product Features

Intended AudienceCollege Audience

Grade FromCollege Freshman

Grade ToCollege Graduate Student

Table Of ContentChapter 1: The Roles of Data and Predictive Analytics in Business Chapter 2: Reasoning with Data Chapter 3: Reasoning from Sample to Population Chapter 4: The Scientific Method: The Gold Standard for Establishing Causality Chapter 5: Linear Regression as a Fundamental Descriptive Tool Chapter 6: Correlation vs. Causality in Regression Analysis Chapter 7: Basic Methods for Establishing Causal Inference Chapter 8: Advances Methods for Establishing Causal Inference Chapter 9: Prediction for a Dichotomous Variable Chapter 10: Identification and Data Assessment

SynopsisDesigned for courses that provide a conceptual and broad-based introduction to econometrics and business analytics, Predictive Analytics for Business Strategy , 1st edition provides future managers with a basic understanding of what data can do in forming business strategy without getting into a taxonomy of models and their statistical properties. Through engaging questions, explanations, and applications, students develop a deeper understanding of the fundamental reasoning behind how and why analysis can generate actionable knowledge and learn to think critically about whether a given analysis has merit or not.