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| Title: | Applied Business Statistics
: Methods & Excel-Based Applications: Second Edition |
| Author: | Trevor Wegner |
| ISBN: | 0702172863 : 9780702172861 |
| Illustrations: | tables & charts |
| Format: | Paperback |
| Size: | 170x245mm |
| Pages: | 625 |
| Weight: | 1.136 Kg. |
| Published: | Juta Publishing (Academic) - January 2007 |
| List Price: | 30.99 Pounds Sterling |
| Availability: | In Print |
| Subjects: | BUSINESS & MANAGEMENT: MATHEMATICS |
Book & CD. This is an introductory Statistics text written specifically for Management students who require an understanding of the role of Statistics in analysing business data from the areas of Marketing, Finance, Human Resources, Production and Logistics. This text shows the importance of Statistics as a decision support tool in management decision making. Emphasis is therefore placed on (i) the data requirements for the various techniques and issues of data quality; (ii) identifying likely application areas through numerous illustrative examples; (iii) noting the limitations of techniques for decision analysis, and, of great importance, (iv) the valid management interpretation of statistical findings. The text is divided into three major sections -- exploratory data analysis, statistical inferences, and statistical modelling -- with each section focusing on a different role of Statistics as a decision support tool. Overall, the primary focus of the text is to empower students of management with statistical decision making skills so that they become active participants rather than passive observers in business situations where statistical findings are reported and discussed as part of a management decision making process. A new feature of this edition is the use of computer software such as Excel to perform statistical analysis. This text illustrates Excel's statistical capabilities through numerous worked examples. It also gives management students the opportunity to develop hands-on familiarisation with Excel's statistical capabilities by applying them to datasets of business problems which are available on the accompanying CD. By having a working knowledge of Excel's statistical capabilities, managers can design and conduct their own statistical analysis, thus building confidence in their use of statistical analysis and findings. The text assumes only a basic level of mathematical ability. Each statistical technique is developed through business-related worked illustrations. In this way, a student can readily grasp the basic concept of the technique as well as see how it would apply in practice. This approach emphasises the strong business application orientation of the text, hence its carefully chosen title of Applied Business Statistics.
Statistics in Management; Data -- Types, Sources and Methods of Collection; Using Excel for Statistical Analysis; Summarising Data Pivot Tables and Graphs; Descriptive Statistics -- Location Measures; Descriptive Statistics -- Dispersion and Skewness Measures; Basic Probability Concepts; Probability Distributions; Sampling and Sampling Distributions; Confidence Interval Estimation; Hypotheses Tests Single Population (Means and Proportions); Hypotheses Tests -- Comparison Between Two Populations (Means and Proportions); Chi-Squared Hypotheses Tests; Analysis of Variance: Comparing Multiple Population Means; Linear Regression and Correlation Analysis; Index Numbers: Measuring Business Activity; Time Series Analysis: A Forecasting Tool; Financial Calculations: Interest, Annuities and NPV.
