# Business Statistics Using Excel / Edition 2

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### Overview

Business Statistics Using Excel provides students with the tools they need to confidently approach their course, using screenshots to integrate Excel effectively throughout the text. Each chapter is packed with exercises to engage students and encourage self testing. The authors provide various pedagogical features to show how statistics are used in the real world, including numerous examples throughout, and running "techniques in practice" exercises at the end of each chapter. The book also contains chapters on how to use Excel and a maths refresher, as well as hosting a numerical skills revision chapter online, all of which help to reinforce students' confidence in their mathematical ability, even if they feel they have forgotten what they have previously learnt.

The text is based around a typical one semester business statistics course, thus ensuring that the content maps well to the modules. It is also accompanied by an extensive Online Resource Centre providing a wealth of self-test questions for students, and a test bank for lecturers.

Online Resource Center

Student resources:
Numerical skills workbook
Multiple-choice questions
Online glossary of terms
Revision tips
Podcasts

Lecturer resources:
Instructor's manual (including detailed worked answers to the exercises in the book)
Cases from the book with suggested solutions
Assignment questions
Examination questions
PowerPoint slides for each chapter
Test bank of questions (a suite of 30 questions per chapter, comprising an equal number of multiple choice, multiple response and true-false questions)

The test bank can be downloaded by lecturers and imported into an appropriate e-Learning platform.

### Product Details

• ISBN-13: 9780199659517
• Publisher: Oxford University Press
• Publication date: 5/10/2013
• Edition description: New Edition
• Edition number: 2
• Pages: 620
• Product dimensions: 9.60 (w) x 7.40 (h) x 0.80 (d)

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

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