Applied Statistics in Business and Economics, 7e ISE – Ebook PDF Instant Delivery – ISBN(s): 9781260597646,1260597644
Product details:
- ISBN-10 : 1260597644
- ISBN-13 : 978-1260597646
- Author: David Doane , Lori . Seward
ISBN: 9781260597646 is the International edition of Applied Statistics in Business and Economics 7th Edition by David Doane, Lori . Seward This ISBN is student textbook only. It does not come with online access code. Access code, if required by an instructor, sold separately at another ISBN. The content of International edition is the same as other formats. Applied Statistics in Business and Economics, 7th edition, provides real meaning to the use of statistics in the real world by using real business situations and real data while appealing to students who want to know the why rather than just the how. The text emphasizes thinking about data, choosing appropriate analytic tools, using computers effectively, and recognizing the limitations of statistics. It motivates student learning through applied current exercises and cases that provide real-world relevance and includes analytics in action, careers, and applications of big data, Artificial Intelligence, and machine learning (including ethical issues). The Doane and Seward authors work as a team, integrating the digital and eBook assets seamlessly. In recognition of a growing interest in analytics training beyond Excel, the textbook now provides an optional introduction to R with illustrations of topics in each chapter. Support for R is further enhanced with Learning Stats modules, tables of R functions, and R-compatible Excel data sets.
Table of contents:
Chapter 1: Overview of Statistics
Chapter 2: Data Collection
Chapter 3: Describing Data Visually
Chapter 4: Descriptive Statistics
Chapter 5: Probability
Chapter 6: Discrete Probability Distributions
Chapter 7: Continuous Probability Distributions
Chapter 8: Sampling Distributions and Estimation
Chapter 9: One-Sample Hypothesis Tests
Chapter 10: Two-Sample Hypothesis Tests
Chapter 11: Analysis of Variance
Chapter 12: Simple Regression
Chapter 13: Multiple Regression
Chapter 14: Time-Series Analysis
Chapter 15: Chi-Square Tests
Chapter 16: Nonparametric Tests
Chapter 17: Quality Management
Chapter 18: Simulation 1
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