TY  - BOOK
AU  - Glyn Davis
AU  - Pecar,Branko
TI  - Business Statistics using Excel
SN  - 9780198722533
U1  - 005.54 G526 B 
PY  - 2013///
CY  - New Delhi
PB  - Oxford University Press
KW  - Commercial statistics
KW  - Business
N1  - Business Statistics using Excel offers a comprehensive introduction to the subject of statistics and equips students with the tools and skills that will enable them to approach their course with confidence. The step-by-step methods are accompanied by illustrative Excel screenshots to provide clear and helpful explanations of the techniques you will need when applying Excel skills to business statistics. The text is designed for a typical one semester business statistics course and each chapter is packed with exercises to engage students and encourage self-assessment. This second edition has been fully revised to include an online refresher course in numerical skills and Microsoft Excel to reinforce students' confidence in their mathematical ability, or to check for basic maths knowledge if it has been some time since they studied it. The table of contents has been revised to more accurately map to a typical one semester Business Statistics course. More focus has been given to employability skills and the authors draw parallels between textbook content and employability skills, enabling students to contextualise their learning and identify how these skills can be applied and valued in real business environments. A wealth of pedagogical features have been integrated to ensure plenty of examples are used throughout as well as running 'techniques in practice' exercises at the end of each chapter. This textbook is accompanied by an extensive Online Resource Centre which offers a range of additional resources for both students and lecturers; 

Table of contents

Chapter 1. Visualising and Presenting Data
Chapter 2. Data Descriptors
Chapter 3. Introduction to Probability
Chapter 4. Probability Distributions
Chapter 5. Sampling Distributions and Estimating
Chapter 6. Introduction to Parametric Hypothesis Testing
Chapter 7. Chi-Square and Non-Parametric Hypothesis Testing
Chapter 8. Linear Correlation and Regression Analysis
Chapter 9. Time Series Data and Analysis

ER  -