Quantitative methods for business, management and finance / Louise Swift.

By:

Swift, Louise, 1959-

Material type: Text

TextLanguage: English Publication details: Basingstoke : Macmillan Business, 2000.Description: xiv, 861 p. : ill. ; 25 cm.ISBN:

9781137376558

Subject(s):

LOC classification:

HD30.215 .S95 2000

Contents:

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.

Summary: 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.

Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Notes	Date due	Barcode
Book	TBS Barcelona	HD30.215 SWI (Browse shelf(Opens below))	1	Available	RESERVE		B02447
Book	TBS Barcelona	HD30.215 SWI (Browse shelf(Opens below))	2	Available			B02446

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.