Business Statistics: A First Course (7th Edition)

David F. Stephan , Kathryn A. Szabat

Physical

In Circulation

The world of business statistics has grown larger, expanding into and combining with other disciplines. And, in a reprise of something that occurred a generation ago, new fields of study –this time with names such as informatics, data analytics and decision science – have emerged. The seventh edition of Business Statistics presents a comprehensive study of all these developments while retaining the rich pedagogy and style of the earlier editions. The guiding philosophy of the book has been to help students see the relevance of statistics in their own careers by providing examples drawn from the functional areas in which they may be specializing.

The cases and learnings will give students ample practice in understanding how to apply statistics to business and to familiarize students with the use of spreadsheet and statisticalsoftware.Getting Started: Important Things to Learn First: Created to help students get a jumpstart on the course and provide coverage of those things that would be helpful to know even before the first class of the term Student Tips: In-margin notes that reinforce hard-to-master concepts and provide quick study tips for mastering important details Stat version 4.1: For Microsoft Excel users, this successor to the PHStat2 statistics add-in contains several new and enhanced procedures, is simpler to set up and run and is compatible with both Microsoft Windows and (Mac)

OS X Excel versions Additional Chapter Short Takes: Online PDF documents (available for download as explained in Appendix C) that provide additional insights or explanations to important statistical concepts or details about the results presented in this book Table of content: Defining and Collecting Data 112 Organizing and Visualizing Variables 333 Numerical Descriptive Measures 994 Basic Probability 1495 Discrete Probability Distributions 1836 The Normal Distribution 2077 Sampling Distributions 2348 Confidence Interval Estimation 2589 Fundamentals of Hypothesis Testing: One-Sample Tests 29410 Two-Sample Tests and ANOVA 33511 Chi-Square Tests 40212 Simple Linear Regression 43013 Multiple Regression 48114 Statistical Applications in Quality Management (online) 14-115 Decision Analysis (online) 15-116 Forecasting (online) 16-1

What will you learn from this book

  1. Understanding Statistical Concepts: Grasping fundamental statistical concepts like measures of central tendency, variability, probability, and distributions.

  2. Descriptive Statistics: Learning techniques to summarize and describe data, including graphical representations and summary measures.

  3. Inferential Statistics: Understanding the principles of inference, hypothesis testing, confidence intervals, and their applications in drawing conclusions from data samples.

  4. Regression Analysis: Exploring regression models to analyze relationships between variables and make predictions.

  5. Correlation Analysis: Understanding correlation to measure relationships between variables and assess their strength and direction.

  6. Probability Distributions: Studying different probability distributions (e.g., normal, binomial) and their relevance in business contexts.

  7. Sampling Methods: Understanding various sampling techniques and their application in collecting and analyzing data.

  8. Data Analysis Tools: Utilizing statistical software tools (e.g., Excel, SPSS) to perform data analysis and interpret results.

  9. Business Applications: Applying statistical methods in business decision-making, market research, forecasting, and quality control.

  10. Ethical Considerations: Understanding ethical implications related to data collection, analysis, and interpretation in business statistics.

Language English
ISBN-10 9332578958
ISBN-13 9789332578951
No of pages 616
Font Size Medium
Book Publisher Pearson Education
Published Date 31 May 2017

About Author

Author : David F. Stephan

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