Applied Business Statistics : Methods and Excel-based Applications

Empowering management students with statistical decision-making skills, this text instructs on how to become active participants where statistical findings are reported. Descriptions are provided of the vast role that statistics play in fields such as marketing, finance, human resources, production, and logistics. Rather than being a passive observer, this guide educates the meaning behind the numbers that allow those in business situations to be informed members of the decision-making process.

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Содержание

Data Types Sources and Collection Methods

Descriptive Statistics Dispersion and Skewness Measures

Exploratory Data Analysis

Statistical Models for Forecasting and Planning

Measuring Business Activity

Probability and Sampling

Probability Distributions

Sampling and Sampling Distributions

Sample Means x

ChiSquared Hypotheses Tests

Confidence Interval Estimation

Hypotheses Tests Single Population Means and Proportions

Hypotheses Tests Comparison Between Two Populations

Comparing Multiple Population Means

Interest Annuities and NPV

Appendices

List of Key Formulae

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Об авторе (2010)

Trevor Wegner is a statistical consultant in business analytics. He facilitates statistical training programmes for managers, both on executive development courses and on an in-house basis, and consults in the area of quantitative decision support systems. He has a M.Bus.Sc. (UCT), an M.Sc. (Sussex University) and a PhD (UCT). He has lectured MBA and Executive MBA students in Quantitative Methods, Marketing Research, Management Science and Quantitative Research Methodology at UCT, Stellenbosch Business School and Warwick Business School (England). He has also published over 20 papers in national and international journals. Through the Graduate School of Business at the University of Cape Town, Trevor Wegner has developed courses in GMAT Preparation, which proved to be highly popular and successful.

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