Essential quantitative methods for business, management and finance:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Houndmills [u.a.]
Palgrave
2001
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes index. |
| Physical Description: | XV, 413 S. Ill., graph. Darst. |
| ISBN: | 0333963350 0333985761 |
Staff View
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| 250 | |a 2. ed. | ||
| 264 | 1 | |a Houndmills [u.a.] |b Palgrave |c 2001 | |
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Record in the Search Index
| _version_ | 1804129298351652864 |
|---|---|
| adam_text | Contents
Preface to the Second Edition xiv
Notes to the Second Edition xvi
1 Revision mathematics i
1.1 Introduction 1
1.2 Number and number operations 1
1.3 Decimals, fractions and percentages 2
1.4 Powers and roots 4
1.5 Elementary algebra 5
1.6 Indices and logs 7
1.7 Mathematical symbols 8
1.8 Graphs and straight lines 9
1.9 Solving linear equations graphically 10
1.10 Solving linear equations simultaneously 11
1.11 Inequations 12
1.12 Further reading 13
2 Sampling methods u
2.1 Introduction 14
2.2 The basics of sampling 14
2.3 Questionnaire design 17
2.4 Simple random sampling 19
2.5 Stratified sampling 21
2.6 Multi stage sampling 22
2.7 Cluster sampling 23
2.8 Systematic sampling 23
2.9 Quota sampling 24
2.10 Other sampling methods 25
2.11 Secondary sources of data 26
2.12 Summary 27
2.13 Further reading 27
2.14 Exercises 27
Viii CONTENTS
3 Presentation of data 32 j
3.1 Introduction 32 !
3.2 Data classification 32
3.3 Tabulation of data 33
3.4 Diagrammatic representation of data 39
3.4.1 Pie charts 39
3.4.2 Bar charts 40
3.4.3 Line graphs 42
3.4.4 Histograms 43
3.4.5 Frequency polygons 45
3.4.6 Ogive 47
3.5 Creating charts with Excel 49
3.6 Summary 56
3.7 Further reading 57
3.8 Exercises 57
4 Summarising data 63
4.1 Introduction 63
4.2 Measures of location 63
4.2.1 The mean, median and mode 64
4.2.2 The mean, median and mode for a frequency distribution 66
4.3 Measures of spread 72
4.3.1 The standard deviation 73
4.3.2 The standard deviation for a frequency distribution 76
4.4 Coefficient of variation 77
4.5 Box and whisker plots 78
4.6 Automatic methods of calculating measures of location and spread 79
4.6.1 The use of Excel 80
4.7 Summary 86
4.8 Further reading 86
4.9 Exercises 87
5 Index numbers 94
5.1 Introduction 94
5.2 Simple indices 94
5.3 Weighted aggregate indices 97
5.3.1 Laspeyres index 98
5.3.2 Paasche s index 99
CONTENTS iX
5.4 Retail price index 101
5.5 Summary 102
5.6 Further reading 102
5.7 Exercises 102
6 Investment appraisal lps
6.1 Introduction 108
6.2 Measures of investment worth 108
6.3 Traditional methods for comparing projects 110
6.4 Discounted cash flow techniques 111
6.4.1 Net present value 114
6.4.2 Internal rate of return 115
6.5 Other applications of the compound interest formula 118
6.5.1 Sinking funds 118
6.5.2 Constant repayments 120
6.5.3 Depreciation 122
6.5.4 Compound interest with continuous compounding 123
6.6 Summary 124
6.7 Further reading 125
6.8 Exercises 125
7 Introduction to probability 130
7.1 Introduction 130
7.2 Basic ideas 130
7.3 The probability of compound events 132
7.4 Conditional probability 135
7.5 Tree diagrams 136
7.6 Bayes theorem 139
7.7 Permutations and combinations 143
7.8 Expected value 145
7.9 Summary 146
7.10 Further reading 146
7.11 Exercises 146
8 Probability distributions isi
8.1 Introduction 151
8.2 Discrete and continuous probability distributions 151
X CONTENTS
8.3 The binomial distribution 153
8.3.1 The mean and standard deviation of the binomial distribution 158
8.4 The Poisson distribution 160
8.4.1 The use of the Poisson distribution as an approximation to the binomial
distribution 162
8.4.2 The mean and standard deviation of the Poisson distribution 163
8.5 The normal distribution 163
8.5.1 The standard normal distribution 165
8.5.2 Standardising normal distributions 167
8.5.3 The normal distribution as an approximation to the binomial distribution 1 72
8.5.4 The normal distribution as an approximation to the Poisson distribution 174
8.6 Summary 175
8.7 Further reading 1 75
8.8 Exercises 175
9 Decision making under conditions of uncertainty i82
9.1 Introduction 182
9.2 Payoff tables 183
9.2.1 The value of perfect information 186
9.3 Decision trees 186
9.3.1 Decision trees and Bayes theorem 190
9.3.2 Sensitivity analysis 194
9.4 Utility 197
9.5 Summary 202
9.6 Further reading 202
9.7 Exercises 202
10 Analysis and interpretation of sample data 211
10.1 Introduction 211
10.2 Samples and sampling 211
10.3 Point estimates 212
10.4 Sampling distribution of the mean 214
10.5 Confidence intervals for a population mean for large samples 216
10.6 Confidence intervals for a population mean for small samples 219
10.7 Confidence interval of a percentage 221
10.8 Calculation of sample size 222
10.9 Finite populations 223
CONTINTS xi
10.10 Summary 224
10.11 Further reading 224
10.12 Exercises 224
11 Testing a hypothesis 229
11.1 Introduction 229
11.2 The purpose of hypothesis testing 229
11.3 Large sample test for a population mean 230
11.4 Small sample test for a population mean 235
11.5 The Z test for a population percentage 237
11.6 Hypothesis tests involving two population means 239
11.6.1 Large sample tests for two independent population means 239
11.6.2 Small sample tests for two independent population means 240
11.6.3 Paired samples 242
11.7 Hypothesis tests involving two population percentages 244
11.8 The chi square hypothesis test 246
11.8.1 The goodness of fit test 247
11.8.2 The test of association 249
11.9 Summary 251
11.10 Further reading 253
11.11 Exercises 253
12 Correlation and regression 26i
12.1 Introduction 261
12.2 Scatter diagrams 261
12.3 Correlation 265
12.3.1 Spearman s rank correlation coefficient (R) 265
12.3.2 Pearson s product moment correlation coefficient (r) 268
12.4 Linear regression 270
12.5 The method of least squares 271
12.6 Coefficient of determination 273
12.7 Automatic methods of analysing bivariate data 273
12.8 Summary 280
12.9 Further reading 281
12.10 Exercises 281
Xii CONTENTS j
13 Time series analysis 286
13.1 Introduction 286 ;
13.2 The decomposition model 286
13.3 Isolating the trend 288
13.4 Isolating the seasonal component 292
13.5 Analysis of errors 295
13.6 Seasonally adjusted series 298
13.7 Forecasting using the decomposition model 299
13.8 Exponential smoothing 301
13.9 Using spreadsheets in time series analysis 303
13.10 Summary 306
13.11 Further reading 306
13.12 Exercises 306
14 Linear programming 310
14.1 Introduction 310
14.2 Basics of linear programming 310
14.3 Model formulation 311
14.4 Graphical solution of linear programming problems 313
14.5 Finding the optimum the isoprofit/cosf method 314
14.6 Finding the optimum an alternative method 316
14.7 Tight and slack constraints 317
14.8 Sensitivity analysis 31 7
14.8.1 Changes to the right hand side of a constraint 317
14.8.2 Changes to the objective function coefficients 318
14.9 Minimisation problems 321
14.10 Using Excel s Solver to solve linear programming problems 323
14.11 Summary 327
14.12 Further reading 327
14.13 Exercises 327
15 Critical path analysis 333
15.1 Introduction 333
15.2 The activity on node method 333
15.3 The float of an activity 337
15.4 Resource scheduling 338
CONTENTS xiil
15.5 Cost scheduling 340
15.6 Summary 343
15.7 Further reading 344
15.8 Exercises 344
16 Inventory control 351
16.1 Introduction 351
16.2 Costs of holding stock 351
16.3 The Economic Order Quantity (EOQ) model 352
16.3.1 Time between orders and the re order level 356
16.4 Discounts 357
16.5 Uncertainty in demand 357
16.6 Summary 360
16.7 Further reading 360
16.8 Exercises 360
17 Simulation 364
17.1 Introduction 364
1 7.2 Queuing problems 364
1 7.3 Random numbers 366
1 7.4 Tabular simulation 368
1 7.5 Accuracy of simulation results 369
17.6 Spreadsheet simulation 370
17.7 Summary 374
17.8 Further reading 374
17.9 Exercises 374
Appendix 1: Answers to selected exercises in the text 379
Appendix 2: Statistical tables 388
Appendix 3: Mathematical and statistical formulae 402
Index 409
|
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| indexdate | 2024-07-09T19:02:55Z |
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| language | English |
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| spelling | Oakshott, Les Verfasser aut Essential quantitative methods for business, management and finance Les Oakshott 2. ed. Houndmills [u.a.] Palgrave 2001 XV, 413 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes index. Finances - Modèles mathématiques Gestion d'entreprise - Modèles mathématiques Mathématiques financières Mathematisches Modell Business mathematics Finance Mathematical models Investition (DE-588)4027556-5 gnd rswk-swf Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Unternehmensplanung (DE-588)4078609-2 gnd rswk-swf Finanzierung (DE-588)4017182-6 gnd rswk-swf Wirtschaftsmathematik (DE-588)4066472-7 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Unternehmensplanung (DE-588)4078609-2 s DE-604 Investition (DE-588)4027556-5 s Finanzierung (DE-588)4017182-6 s Wirtschaftsmathematik (DE-588)4066472-7 s Statistische Entscheidungstheorie (DE-588)4077850-2 s 1\p DE-604 Datenanalyse (DE-588)4123037-1 s 2\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009875461&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Oakshott, Les Essential quantitative methods for business, management and finance Finances - Modèles mathématiques Gestion d'entreprise - Modèles mathématiques Mathématiques financières Mathematisches Modell Business mathematics Finance Mathematical models Investition (DE-588)4027556-5 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Unternehmensplanung (DE-588)4078609-2 gnd Finanzierung (DE-588)4017182-6 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
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| title | Essential quantitative methods for business, management and finance |
| title_auth | Essential quantitative methods for business, management and finance |
| title_exact_search | Essential quantitative methods for business, management and finance |
| title_full | Essential quantitative methods for business, management and finance Les Oakshott |
| title_fullStr | Essential quantitative methods for business, management and finance Les Oakshott |
| title_full_unstemmed | Essential quantitative methods for business, management and finance Les Oakshott |
| title_short | Essential quantitative methods for business, management and finance |
| title_sort | essential quantitative methods for business management and finance |
| topic | Finances - Modèles mathématiques Gestion d'entreprise - Modèles mathématiques Mathématiques financières Mathematisches Modell Business mathematics Finance Mathematical models Investition (DE-588)4027556-5 gnd Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Unternehmensplanung (DE-588)4078609-2 gnd Finanzierung (DE-588)4017182-6 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Finances - Modèles mathématiques Gestion d'entreprise - Modèles mathématiques Mathématiques financières Mathematisches Modell Business mathematics Finance Mathematical models Investition Statistische Entscheidungstheorie Unternehmensplanung Finanzierung Wirtschaftsmathematik Datenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=009875461&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT oakshottles essentialquantitativemethodsforbusinessmanagementandfinance |