Learning Statistics and EXCEL in Tandem, 4th Edition | AU/NZ

Saroja Selvanathan, Selva A. Selvanathan, Prabha Selvanathan

Copyright 2014
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Learning Statistics and EXCEL in Tandem 4th Edition by Saroja Selvanathan/Selva A. Selvanathan/Prabha Selvanathan

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Overview

Learning Statistics and EXCEL in Tandem shows how to solve most statistical business problems taught in an introductory statistics subject using the Microsoft EXCEL spreadsheet software. The major difference between this book and other EXCEL books is that, before using EXCEL for an application, in this book, we discuss the selection of the appropriate statistical technique required to solve the problem. In other words, the aim of the book is to teach in tandem the appropriate statistical techniques as well as the use of EXCEL to execute them. In this sense, this book may be used as a stand-alone book by managers and analysts who have knowledge in statistics. However, those with no statistics knowledge should use this as a supplement to a statistics textbook. Learning Statistics and EXCEL in Tandem is primarily designed to cater for undergraduate students enrolled in a statistics subject. The book is also useful for postgraduate students as well as managers and analysts in analysing their day-to-day basic statistical problems using EXCEL.

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Meet the Authors

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Saroja Selvanathan

Saroja is Professor in Econometrics in the Department of Accounting, Finance and Economics, Griffith University, a Visiting Professor at the Madras School of Economics, Anna University, Chennai, India, and Research Higher Degrees Convenor, Economics and Business Statistics, at Griffith University. She has also held positions such as Deputy Dean (Research) in the Faculty of Commerce and Administration, the Director of the Statistics and Research Design (STARDS) Unit and the Head of the Economics and Business Statistics Discipline at Griffith University. She has also taught previously at the University of Jaffna (Sri Lanka), Murdoch University (Australia) and The University of Western Australia. Saroja was educated at the University of Jaffna, Murdoch University and The University of Western Australia, and has published several research monographs and research papers in international refereed journals such as the Review of Economics and Statistics, Transportation Research and Economics Letters, and book chapters. Saroja was the recipient of a 2005 Excellence in Teaching Award for innovation across the institution for teaching statistics to postgraduate students.

Selva A. Selvanathan

Selva is Professor in Econometrics and Applied Statistics in the Griffith Business School and Director of BIntBus Program at Griffith University. He is also a Visiting Professor at the Madras School of Economics, Anna University, Chennai, India. Selva has also taught previously at the University of Jaffna (Sri Lanka), Murdoch University (Australia) and The University of Western Australia (Australia) and University of Queensland (Australia). He has held positions such as the Deputy Dean (Staffing), Faculty of International Business, and Deputy Director of the Statistics and Research Design (STARDS) Unit at Griffith University. Selva was educated at the University of Jaffna, University of Bucurest (Romania), The University of Western Australia and Murdoch University (Australia). He is the recipient of several individual and group Excellence in Teaching Awards and has received numerous of competitive teaching and research grants. Selva has published six research monographs and has published widely in international refereed journals such as Journal of Econometrics, Review of Economics and Statistics, Journal of Business and Economic Statistics, Review of Economics Studies and Marketing Science, and several book chapters.Currently Selva coordinates the OUA Business Statistics units, which are administered by Griffith Uni.

Prabha Selvanathan

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Part 1: Introduction and data manipulation
1. Introduction to Microsoft EXCEL
2. Data entry and data manipulation

Part 2: Descriptive statistics and probability theory
3. Graphical descriptive methods: Summarising data in tables
4. Numerical descriptive measures: Summary statistics
5. Probability
6. Discrete probability distributions
7. Continuous probability distributions

Part 3. Statistical inference
8. Sampling and sampling distributions
9. Interval estimation: Describing a single population
10. Interval estimation: Comparing two populations
11. Hypothesis testing: Describing a single population
12. Hypothesis testing: Comparing two populations
13. Inference about population variances

Part 4. Applications
14. Analysis of variance
15. Correlation and regression analysis
16. Index numbers