This textbook is aimed at students of management who need to have an appreciation of the role of statistics in management decision making. The statistical treatment of business data is relevant in all areas of business activity and across all management functions (i.e. Marketing, finance, human resources, operations and logistics, accounting, information systems and technology). Statistics provide evidence-based information which makes it an important decision support tool in management
 

Product Information 

• Setting the statistical scene: Statistics in management 
• Exploratory data analysis: Summarising data
• Summary tables and graphs
• Describing data: Numeric descriptive statistics
• The foundation of statistical inference – probability and sampling: Basic probability concepts
• Probability distributions
• Sampling and sampling distributions
• Making statistical inferences: Confidence interval estimation
• Hypothesis testing: single population (means and proportions)
• Hypothesis testing: Comparison between two populations (means and proportions)
• Chi-squared hypothesis tests
• Analysis of variance – comparing means across multiple populations
• Statistical models for forecasting and planning: simple linear regression and correlation 
• analysis
• Multiple Regression
• Index numbers: Measuring business activity
• Time series analysis: A forecasting tool

New chapters

• Big Data,
• Data Mining and Visualization
  

• Undergraduate students of Management at universities (BCom, BAcc, etc) 

• Management diploma students working towards professional Qualifications

• Postgraduate students (MBA and PGDip) of Management at business schools