Basic Statistics for Business & Economics
CHAPTER 2: Describing Data: Frequency Tables, Frequency Distributions and Graphic Presentation
CHAPTER 3: Describing Data: Numerical Measures
CHAPTER 4: A Survey of Probability Concepts
CHAPTER 5: Discrete Probability Distributions
CHAPTER 6: Continuous Probability Distributions
CHAPTER 7: Sampling Methods and the Central Limit Theorem
CHAPTER 8: Estimation and Confidence Intervals
CHAPTER 9: One-Sample Tests of Hypothesis
CHAPTER 10: Two-Sample Tests of Hypothesis
CHAPTER 11: Analysis of Variance
CHAPTER 12: Linear Regression and Correlation
CHAPTER 13: Multiple Regression and Correlation Analysis
CHAPTER 14: Chi-Square Applications
CHAPTERS AVAILABLE ONLINE
CHAPTER 15: Index Numbers
CHAPTER 16: Time Series and Forecasting
CHAPTER 17: An Introduction to Decision Theory
APPENDICES
Appendix A.1: Answers to Odd-Numbered Chapter Exercises
Appendix A.2: Solutions to Practice Tests
Appendix B.1: Areas under the Normal Curve
Appendix B.2: Student's t Distribution
Appendix B.3: Binomial Probability Distribution
Appendix B.4: Poisson Distribution
Appendix B.5: Table of Random Numbers
Appendix B.6: Critical Values of Chi-Square
Appendix B.7: Critical Values of the F Distribution at a 5% Level of Significance
Appendix B.8: MegaStat Quick Reference Guide (Online)
Appendix C: Data Sets (Online)
This product continues to maintain a student-oriented learning approach by showing the business relevance behind the statistics, with many Canadian examples, and demonstrating how statistics is applicable not only to students' future in business, but also to their everyday lives. With self-review questions, data set exercises, key formula callouts, chapter summaries, and robust exercises, Lind provides ample opportunity for practice, summation, and learning.
Available with award-winning technology, Connect and SmartBook 2.0 adaptive reading and learning tool, to support student learning and engagement. This digital package is powered by personalization, leveraging adaptive technologies so students may learn more efficiently, retain more key information, and achieve better outcomes
NEW DATA ANALYTICS EXERCISES The goal of the Data Analytics Exercises is to develop analytical skills. The exercises present a real-world context with supporting data. The data sets are available to download from Connect as Appendix D. Statistical software is required to analyze the data and respond to the exercises. Each data set is used to explore questions and discover findings that relate to a real-world context.
NEW INTEGRATED EXCEL The power of Microsoft Excel meets the power of McGraw Hill Connect in our all-new integration of Excel in Connect. In this new assignment type, Excel opens seamlessly inside Connect with no need to upload or download any additional files or software. Instructors choose their preferred auto-graded solution with the option for either grading for formula accuracy or the solution value.
NEW WRITING ASSIGNMENT Delivers a learning experience that improves students’ written communication skills and conceptual understanding with every assignment.
UPDATED PRACTICE TESTS Practice Tests at the end of each chapter give students an idea of content that might appear on a test and how the test might be structured.
UPDATED CHAPTER-OPENING EXERCISES These exercises are found in each chapter and demonstrate how chapter content can be applied to a real-world situation.
REVISED CHAPTER EXERCISES Chapter Exercises are now arranged in order of difficulty in each chapter.
ENGAGING ACTIVE LEARNING APPROACH Lind provides students with the skills needed to critically analyze and make decisions with numerical information from a wide variety of sources. Reducing large amounts of data into meaningful formats is a key component introduced to students in the context of business application. Examples and problems are designed to teach the basics while remaining relevant to the real world.
REAL WORLD RELEVANCE Students struggle with how to relate business statistics to the real world. Lind shows the business relevance behind the statistics, with many Canadian examples, and demonstrates how statistics is applicable not only to students’ futures in business, but also to their everyday lives. The “Statistics in Action” boxes provide unique and interesting applications into the field of statistics. Examples provide a realistic “how to’ illustration along with a relevant business application.
RICH PEDAGOGY Students build knowledge, confidence, and an understanding of statistical concepts through Self Review questions that are interspersed throughout the chapter to test student comprehension of the material, and Data Set Exercises that are based on large data sets, as well as key formulas which are boxed and numbered for reference throughout. Chapter Summaries, practice tests, and chapter exercises provide practice and review, plus a summation of the learning objectives.
MCGRAW HILL CONNECT® is an award-winning digital teaching and learning solution that empowers students to achieve better outcomes and enables instructors to improve efficiency with course management. Within Connect, students have access to SmartBook®, McGraw Hill’s adaptive learning and reading resource.
Connect for Basic Statistics provides assignable, auto-gradable chapter exercises to help students learn how to solve problems and apply concepts. Advanced algorithms allow students to practise problems multiple times to ensure full comprehension of each problem.
McGraw-Hill Connect is an award-winning digital teaching and learning solution that empowers students to achieve better outcomes and enables instructors to improve course management efficiency.
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