Applied Business Statistics 4e

Methods and Excel-based Applications


Available
    Edition: Fourth
  • Format: Soft Cover
  • ISBN: 9781485111931
  • Extent: 480 pages
  • Published:
  • Category: Business Management

R567.00



This is an introductory Statistics textbook for management students who require an understanding of the role that statistics plays in supporting management decision making in all areas of business. Its primary focus is to empower management students with statistical decision making skills so that they become active participants rather than passive observers when interacting with statistical findings as part of a management decision-making process.

Chapter 1 Statistics in Management
Chapter 2 Summarising Data: Summary Tables and Graphs
Chapter 3 Describing Data: Numeric Descriptive Statistics
Chapter 4 Basic Probability Concepts
Chapter 5 Probability Distributions
Chapter 6 Sampling and Sampling Distributions
Chapter 7 Confidence Interval Estimation
Chapter 8 Hypothesis Testing: Single Population
Chapter 9 Hypothesis Testing: Comparison between Two Populations
Chapter 10 Chi-Square Hypothesis Tests
Chapter 11 Analysis of Variance: Comparing Means across Multiple Populations
Chapter 12 Simple Linear Regression and Correlation Analysis
Chapter 13 Multiple Regression
Chapter 14 Index Numbers: Measuring Business Activity
Chapter 15 Time Series Analysis: A Forecasting Tool

A feature of this book is the use of Microsoft Excel to perform statistical analyses. Students are given the opportunity to familiarise themselves with Microsoft Excel’s statistical capabilities by applying them to data sets of business problems, which are available on the accompanying CD. Students can monitor their learning with the help of the exercises at the end of every chapter.

Key Benefits

The emphasis in this book is placed on:
• Translating management problems into appropriate statistical approaches
• Underscoring the importance of data quality as integral to valid statistical analysis
• Identifying likely application areas through numerous illustrative examples
• Noting the limitations of techniques for decision analysis; and
• The appropriate management interpretation of statistical findings.

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This is an introductory Statistics textbook for management students who require an understanding of the role that statistics plays in supporting management decision making in all areas of business. Its primary focus is to empower management students with statistical decision making skills so that they become active participants rather than passive observers when interacting with statistical findings as part of a management decision-making process.

Chapter 1 Statistics in Management
Chapter 2 Summarising Data: Summary Tables and Graphs
Chapter 3 Describing Data: Numeric Descriptive Statistics
Chapter 4 Basic Probability Concepts
Chapter 5 Probability Distributions
Chapter 6 Sampling and Sampling Distributions
Chapter 7 Confidence Interval Estimation
Chapter 8 Hypothesis Testing: Single Population
Chapter 9 Hypothesis Testing: Comparison between Two Populations
Chapter 10 Chi-Square Hypothesis Tests
Chapter 11 Analysis of Variance: Comparing Means across Multiple Populations
Chapter 12 Simple Linear Regression and Correlation Analysis
Chapter 13 Multiple Regression
Chapter 14 Index Numbers: Measuring Business Activity
Chapter 15 Time Series Analysis: A Forecasting Tool

A feature of this book is the use of Microsoft Excel to perform statistical analyses. Students are given the opportunity to familiarise themselves with Microsoft Excel’s statistical capabilities by applying them to data sets of business problems, which are available on the accompanying CD. Students can monitor their learning with the help of the exercises at the end of every chapter.

Key Benefits

The emphasis in this book is placed on:
• Translating management problems into appropriate statistical approaches
• Underscoring the importance of data quality as integral to valid statistical analysis
• Identifying likely application areas through numerous illustrative examples
• Noting the limitations of techniques for decision analysis; and
• The appropriate management interpretation of statistical findings.

This product does not have any reviews yet - be the first to write one.