Business Statistics using Excel
Price: 511.00 INR
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ISBN:
9780198722533
Publication date:
21/03/2014
Paperback
504 pages
241.0x185.0mm
Price: 511.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780198722533
Publication date:
21/03/2014
Paperback
504 pages
241.0x185.0mm
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.
Suitable for: The book is suitable for core one semester first year undergraduate modules in Business Statistics for students who are taking a degree in Business Studies or Administration. It is also suitable for students taking an introductory Statistics module as part of an Economics degree (some of whom will be taught together with the business students).
Rights: OUP UK (Indian Territory)
Description
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
Features
- New to this edition
- A guide to using Excel and a numerical skills revision resource have been added to the Online Resource Centre as an optional refresher course
- An additional chapter has been introduced to offer extended coverage on probability and probability distributions, offering more thorough explanations, questions and examples of this topic
- This second edition has been updated to give more emphasis on employability skills, drawing links between the exercises in the book and their real life application.
- All chapters have been fully revised and updated to include additional examples, explanations and discussion questions
Description
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.
Read MoreTable 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
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