000			02937cam a22002534a 4500
001			12387040
005			20240319104114.0
008			000724s2000 enka f 001 0 eng
010			_a 2001339790
020			_a9781137376558
040			_ctbs
050	0	0	_aHD30.215 _b.S95 2000
100	1		_aSwift, Louise, _d1959-
245	1	0	_aQuantitative methods for business, management and finance _c/ Louise Swift.
260			_aBasingstoke : _bMacmillan Business, _c2000.
300			_axiv, 861 p. : _bill. ; _c25 cm.
500			_aIncludes index.
505			_aPART 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.
520			_aThe 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.
650		0	_aIndustrial management _xStatistical methods.
650		0	_aCommercial statistics.
942			_2lcc
999			_c3727 _d3727
041			_aEnglish