Basic Business Statistics, 5th edition

Published by Pearson (November 1, 2020) © 2021

  • Mark L. Berenson Zicklin School of Business, City University of New York; Montclair State University
  • David M. Levine Baruch College, City University of New York
  • Kathryn A. Szabat La Salle University
  • Martin OBrien University of Wollongong
  • Nicola Jayne Southern Cross University
  • Judith Watson University of New South Wales , Baruch College University of New York
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Australasian and Pacific data included

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Extending the teaching foundation of the previous editions, Basic Business Statistics uses a real-world focus. This allows students to visualise how the content can be applied to people and businesses in reality, helping take them look beyond concepts to visualise the theory in a tangible framework.

Using language that is more accessible - but no less authoritative - students can spend more time learning the theories with local examples and a variety of features.

Academics are given the flexibility of designing an engaging unit for a mixed cohort of students with courseware that drives technical and soft skills through authentic learning tools and assignments for hybrid, online and face-to-face units.

Samples

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Student resources:

These extra resources include bonus chapters, cases and data sets - Australasian and Pacific data sets are used for the problems in each chapter.

Continuing cases >

Chapters 16-21 >

Excel data sets >

  • PART 1 Presenting and Describing Information
  • 1 Defining and Collecting Data
  • 2 Organising and Visualising Data
  • 3 Numerical Descriptive Measures
  • PART 2 Measuring Uncertainty
  • 4 Basic Probability
  • 5 Some Important Discrete Probability Distributions
  • 6 The Normal Distribution and Other Continuous Distributions
  • 7 Sampling Distributions
  • PART 3 Drawing Conclusions about Populations Based only on Sample Information
  • 8 Confidence Interval Estimation
  • 9 Fundamentals of Hypothesis Testing: One-Sample Tests
  • 10 Hypothesis Testing: Two-Sample Tests
  • 11 analysis of Variance
  • PART 4 Determining Cause and Making Reliable Forecasts
  • 12 Simple Linear Regression
  • 13 Introduction To Multiple Regression
  • 14 Time-Series Forecasting and Index Numbers
  • 15 Chi-Square Tests
  • PART 5 Further Topics in Stats [ONLINE CHAPTERS]
  • 16 Multiple Regression Model Building
  • 17 Decision Making
  • 18 Statistical Applications In Quality Management
  • 19 Further Non-Parametric Tests
  • 20 Business Analytics
  • 21 Data Analysis: The Big Picture
  • Appendices A To F
  • Glossary
  • Index

Download the detailed table of contents >.

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