Quantitative methods for business, management and finance
Swift, Louise, 1959-
Quantitative methods for business, management and finance / Louise Swift. - Basingstoke : Macmillan Business, 2000. - xiv, 861 p. : ill. ; 25 cm.
Includes index.
PART I: ESSENTIAL MATHS —
Numbers and Symbols —
Simplifying Expressions —
Solving Problems —
Modelling Using Straight Lines —
PART II: MORE MATHS —
Some Special Equations —
Modelling Using Curves —
Rates of Change —
PART III: DESCRIBING DATA —
Pictures of Data —
Summarising Data —
PART IV: PROBABILITY —
Measuring Uncertainty —
Numerical Outcomes —
Continuous Numerical Outcomes —
Some More Probability Distributions —
PART V: STATISTICS —
Estimation —
Testing Hypotheses —
Correlation and Regression —
Comparing Two Populations —
Nonparametric methods —
Categorical Data —
Forecasting —
Statistics in Practice —
PART VI: BUSINESS MODELLING —
Linear Programming Models —
Planning Projects —
Models for Inventory Control —
Time and Money —
Decision Making —
Simulating Reality —
Controlling Quality —
PART VII: STATISTICAL TABLES —
Cumulative Binomial Probabilities —
Cumulative Standard Normal Probabilities —
Percentage Points of the Standard Normal Distribution —
Random Digits —
Percentage Points of the t Distribution —
Percentage Points of the x2 Distribution.
The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications.
Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills.
Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses.
9781137376558
2001339790
Industrial management--Statistical methods.
Commercial statistics.
HD30.215 / .S95 2000
Quantitative methods for business, management and finance / Louise Swift. - Basingstoke : Macmillan Business, 2000. - xiv, 861 p. : ill. ; 25 cm.
Includes index.
PART I: ESSENTIAL MATHS —
Numbers and Symbols —
Simplifying Expressions —
Solving Problems —
Modelling Using Straight Lines —
PART II: MORE MATHS —
Some Special Equations —
Modelling Using Curves —
Rates of Change —
PART III: DESCRIBING DATA —
Pictures of Data —
Summarising Data —
PART IV: PROBABILITY —
Measuring Uncertainty —
Numerical Outcomes —
Continuous Numerical Outcomes —
Some More Probability Distributions —
PART V: STATISTICS —
Estimation —
Testing Hypotheses —
Correlation and Regression —
Comparing Two Populations —
Nonparametric methods —
Categorical Data —
Forecasting —
Statistics in Practice —
PART VI: BUSINESS MODELLING —
Linear Programming Models —
Planning Projects —
Models for Inventory Control —
Time and Money —
Decision Making —
Simulating Reality —
Controlling Quality —
PART VII: STATISTICAL TABLES —
Cumulative Binomial Probabilities —
Cumulative Standard Normal Probabilities —
Percentage Points of the Standard Normal Distribution —
Random Digits —
Percentage Points of the t Distribution —
Percentage Points of the x2 Distribution.
The new edition of this highly successful and popular textbook is a comprehensive, easy-to-follow guide to using and interpreting all the quantitative techniques that students will encounter in their later business and financial careers; from fundamental principles through to more advanced applications.
Topics are explained in a clear, friendly step-by-step style, accompanied by examples, exercises and activities, making the text ideal for self-tuition or for the student with no experience or confidence in working with numbers. This highly successful learning-by-doing approach, coupled with the book's clear structure, will enable even the most maths-phobic student to understand these essential mathematical skills.
Comprehensive in both its scope of coverage and the range of abilities it caters for, this remains a core textbook for undergraduate students of business, management and finance, for whom Quantitative Methods modules will be a key component. It will also appeal to those on related MBA and postgraduate courses.
9781137376558
2001339790
Industrial management--Statistical methods.
Commercial statistics.
HD30.215 / .S95 2000
