Business Mathematics and Statistics

Front Cover
Cengage Learning EMEA, 2004 - Business & Economics - 666 pages
The sixth edition provides a thorough grounding in basic mathematical and statisical techniques for business students, and students on a professional course such as accounting. The result is a comprehensive, user-friendly, testing oriented guide to quantitative methods for business. The sixth edition provides a thorough grounding in basic mathematical and statisical techniques for business students, and students on a professional course such as accounting. The result is a comprehensive, user-friendly, testing oriented guide to quantitative methods for business.
 

What people are saying - Write a review

User Review - Flag as inappropriate

for my new syllabus of cs foundation ,sub statistics

User Review - Flag as inappropriate

Good

All 10 reviews »

Contents

Introduction to Business Mathematics and Statistics
1
Parti Data and their presentation
5
Sampling and Data Collection
6
Data and their Accuracy
24
Frequency Distributions and Charts
38
General Charts and Graphs
63
Examination questions
90
Statistical measures
95
Annuities
318
Examination examples and questions
330
Business equations and graphs
337
Functions and Graphs
338
Linear Equations
351
Quadratic and Cubic Equations
364
Differentiation and Integration
374
Cost Revenue and Profit Functions
385

Arithmetic Mean
96
Median
107
Mode and Other Measures of Location
117
Measures of Dispersion and Skewness
129
Standard Deviation
136
Quantiles and the Quartile Deviation
148
Examination example and questions
159
Regression and correlation
165
Linear Functions and Graphs
166
Regression Techniques
173
Correlation Techniques
191
Examination examples and questions
207
Time series analysis
213
Time Series Model
214
Time Series Trend
219
Seasonal Variation and Forecasting
229
Examination example and questions
242
Index numbers
247
Index Relatives
248
Composite Index Numbers
259
Special Published Indices
272
Examination questions
281
Compounding discounting and annuities
285
Interest and Depreciation
286
Present Value and Investment Appraisal
302
Examination examples and questions
395
Probability
403
Set Theory and Enumeration
404
Introduction to Probability
419
Conditional Probability and Expectation
436
Examination examples and questions
449
Further probability
455
Combinations and Permutations
456
Binomial and Poisson Distributions
462
Normal Distribution
473
Examination example and questions
490
Specialised business applications
495
Linear Inequalities
496
Matrices
508
Inventory Control
526
Network Planning and Analysis
543
Examination example and questions
555
Answers to student exercises
562
Answers to examination questions
581
Appendices
650
Random Sampling Numbers
654
Exponential Tables Values of em
655
Standard Normal Distribution Tables
657
Index
659
Copyright

Common terms and phrases

About the author (2004)

Andre Francis has recently retired from his position as a medical statistician at QMC, University Hospital, Nottingham. He also taught mathematics, statistics and information processing to students on business and professional courses for many years.

Bibliographic information