Product Description
Applied Business Statistics (5th edition) (Multimedia eBook)
Author: T Wegner
Format: Digital
Applied Business Statistics 5e is an introductory and intermediate Statistics text for students of Management. Its business applications-oriented approach aims to teach Management students how statistics (or data analytics) can be used as a valuable decision-support tool in any discipline of management practice – be it marketing, finance, human resources, production/logistics, information technology or organisational behaviour. It assumes only a basic level of mathematical ability.
The 5th edition builds on the strengths of the fourth edition by:
• Highlighting newer trends in statistical applications in management practice
• Strengthening the Excel-based generation of statistical evidence using a custom-built software product, called X-Static
• Enhancing the graphic visualisation of statistical evidence.
Key Features:
Material is presented in a non-technical manner to make it easier for a student with limited mathematical background to grasp the subject matter.
Develops an intuitive understanding of the techniques by framing them in the context of a management question, giving layman-type explanations of methods, using illustrative business examples and focusing on the management interpretations of the statistical findings.
Interactive self-test questions with popup answers instantly validate learning.
Video lectures provide further context.
Audio glossaries of terms promote understanding of commonly used terms and concepts.
Contents:
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Setting the statistical scene: Statistics in management
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Exploratory data analysis: Summarising data
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Summary tables and graphs
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Describing data: Numeric descriptive statistics
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The foundation of statistical inference – probability and sampling: Basic probability concepts
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Probability distributions
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Sampling and sampling distributions
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Making statistical inferences:
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Confidence interval estimation
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Hypothesis testing: Single population (means and proportions)
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Hypothesis testing: Comparison between two populations (means and proportions)
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Chi-squared hypothesis tests
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Analysis of variance – comparing means across multiple populations
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Statistical models for forecasting and planning: simple linear regression and correlation analysis
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Multiple regression
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Index numbers: Measuring business activity
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Time series analysis: A forecasting tool
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