Essential quantitative methods: for business, management and finance ; [with Excel and SPSS]
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Houndmills [u.a.]
Palgrave
2006
|
| Edition: | 3. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | X, 484 S. graph. Darst. |
| ISBN: | 1403949913 9781403949912 |
Staff View
MARC
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| 245 | 1 | 0 | |a Essential quantitative methods |b for business, management and finance ; [with Excel and SPSS] |c Les Oakshott |
| 246 | 1 | 3 | |a Essential quantitative methods for business, management and finance |
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Record in the Search Index
| _version_ | 1804135557961351168 |
|---|---|
| adam_text | Contents ;
i
Preface to the third edition ix ;
Notes to the third edition xi
Acknowledgements xii
Part I Mathematical applications
1 Revision mathematics 3
Introduction 4
Number and number operations 4 ;
Decimals, fractions and percentages 5
Powers and roots 7
Elementary algebra 7 j
Indices and logs 10 i!
Mathematical symbols 12 I
Graphs and straight lines 13 i
Solving linear equations graphically 14
Solving linear equations simultaneously 15
Inequations 15 •
Further reading 16
2 Keeping up with change: index numbers 17
Quantitative methods in action: Is the demand for oil :
increasing? 18
Introduction 20
Simple indices 20
Weighted aggregate indices 23
Retail price index 27
Key points 29
Reflection 29
Further reading 30
Exercises 30
3 Choosing wisely: investment appraisal 33
Quantitative methods in action: Bank One credit cards 34
Introduction 35
Measures of investment worth 35
Traditional methods for comparing projects 37
Discounted cash flow techniques 38
Other applications of the compound interest formula 47
Key points 53
Reflection 53
Contents
Further reading 54
Exercises 54
Part II Collecting and interpreting data
4 Collecting data: surveys and samples 59
Quantitative methods in action: The British Government s 10 year
plan for transport 60
Introduction 62
The basics of sampling 62
Questionnaire design 65
Simple random sampling 67
Stratified sampling 70
Multi stage sampling 70
Cluster sampling 73
Systematic sampling 73
Quota sampling 74
Other sampling methods 75
Secondary sources of data 76
Reflection 76
Key points 77
Further reading 78
Exercises 78
5 Finding patterns in data: charts and tables 81
Quantitative methods in action: Do British people work longer hours
than people in other EU countries? 82
Introduction 84
Data classification 84
Tabulation of data 86
Diagrammatic representation of data 93
Creating charts with Excel 104
Creating charts with SPSS 108
Reflection 117
Key points 118
Further reading 119
Exercises 119
6 Making sense of data: averages and measures of spread 123
Quantitative methods in action: The UK National Census 2001 124
Introduction 126
Measures of location 126
Measures of spread 137
The variance and standard deviation 138
Contents
The variance and standard deviation for a frequency distribution 142
Coefficient of variation 144
Box and whisker plots 144
Automatic methods of calculating measures of location and spread 145
Using SPSS to calculate summary statistics 151
Reflection 155
Key points 156
Further reading 157
Exercises 157
Part III Probability and statistics
7 Taking a chance: probability 165
Quantitative methods in action: How to win a million! 166
Introduction 168
Basic ideas 168
The probability of compound events 170
Conditional probability 173
Tree diagrams 174
Bayes theorem 177
Permutations and combinations 181
Expected value 183
Key points 184
Reflection 184
Further reading 185
Exercises 185
8 The shape of data: probability distributions 188
Quantitative methods in action: Which is safer, flying or driving? 189
Introduction 191
Discrete and continuous probability distributions 191
The binomial distribution 193
The Poisson distribution 200
The normal distribution 204
Reflection 216
Key points 217
Further reading 217
Exercises 217
9 Interpreting with confidence: analysis of sample data 221
Quantitative methods in action: Voting intention prior to the
UK 2005 general election 222
Introduction 223
Samples and sampling 223
Contents
Point estimates 224
Sampling distribution of the mean 225
Confidence intervals for a population mean for large samples 227
Confidence intervals for a population mean for small samples 230
Confidence interval of a percentage 232
Calculation of sample size 233
Finite populations 235
Reflection 235
Key points 236
Further reading 236
Exercises 236
10 Checking ideas: testing a hypothesis 239
Quantitative methods in action: The Northern Ireland seat belt survey 240
Introduction 241
The purpose of hypothesis testing 241
Large sample test for a population mean 242
Small sample test for a population mean 247
The Z test for a population percentage 249
Hypothesis tests involving two population means 251
Hypothesis tests involving two population percentages 259
The chi square hypothesis test 260
SPSS and the chi square test 267
Reflection 272
Key points 273
Further reading 274
Exercises 274
11 Cause and effect: correlation and regression 279
Quantitative methods in action: Could the result of a US presidential
election be predicted? 280
Introduction 281
Scatter diagrams 281
Correlation 284
Linear regression 291
The method of least squares 292
Coefficient of determination 294
Automatic methods of analysing bivariate data 294
SPSS and scatter diagrams 299
SPSS and linear regression 299
Reflection 304
Key points 305
Further reading 305
Exercises 305
Contents
Part IV Decision making techniques
12 How to make good decisions 313
Quantitative methods in action: Health service review 314
Introduction 315
Payoff tables 315
Decision trees 319
Utility 331
Multi attribute decision making 334
Key points 343
Reflection 343
Further reading 344
Exercises 344
13 Forecasting: time series analysis 351
Quantitative methods in action: Forecasting in the utility industries 352
Introduction 353
The decomposition model 353
Isolating the trend 355
Isolating the seasonal component 359
Analysis of errors 364
Seasonally adjusted series 368
Forecasting using the decomposition model 370
Exponential smoothing 371
Using spreadsheets in time series analysis 373
Key points 377
Reflection 377
Further reading 378
Exercises 378
14 Making the most of things: linear programming 381
Quantitative methods in action: Crew recovery at Continental
Airlines 382
Introduction 383
Basics of linear programming 383
Model formulation 383
Graphical solution of linear programming problems 385
Finding the optimum the isoprofit/cost method 386
Finding the optimum an alternative method 389
Tight and slack constraints 390
Sensitivity analysis 390
Minimisation problems 394
Using Excel s Solver to solve linear programming problems 396
Key points 400
Reflection 401
Contents 401
Further reading
Exercises
15 Planning large projects: network analysis 406
Quantitative methods in action: How did they build that? The Second ^
Severn Crossing
Introduction
The activity on node method
The float of an activity
Resource scheduling
41b
Cost scheduling
Key points 421
Reflection
Further reading
Exercises
16 Managing stock levels: materials management and
inventory control
Quantitative methods in action: Tesco s in store ordering 4/9
430
Introduction Q
Costs of holding stock
The Economic Order Quantity (EOQ) model
436
Discounts ..,,
¦ i 43d
Uncertainty in demand
Key points 43g
Reflection m
Further reading ^Q
Exercises
. 442
17 Taking account of randomness
Quantitative methods in action: Car body production at
PSA Peugeot Citroen ^
Introduction ^
Queuing problems ^6
Random numbers ^o
Tabular simulation gQ
Accuracy of simulation results
Spreadsheet simulation 4
Key points 454
Reflection 45c
Further reading .^
Exercises
459
Appendix 1: Statistical tables 71
Appendix 2: Mathematical and statistical formulae
479
Index
|
| adam_txt |
Contents ;
i
Preface to the third edition ix ;
Notes to the third edition xi
Acknowledgements xii
Part I Mathematical applications
1 Revision mathematics 3
Introduction 4
Number and number operations 4 ;
Decimals, fractions and percentages 5
Powers and roots 7
Elementary algebra 7 j
Indices and logs 10 i!
Mathematical symbols 12 I
Graphs and straight lines 13 i
Solving linear equations graphically 14 \
Solving linear equations simultaneously 15 \
Inequations 15 •
Further reading 16
2 Keeping up with change: index numbers 17
Quantitative methods in action: Is the demand for oil :
increasing? 18
Introduction 20
Simple indices 20
Weighted aggregate indices 23
Retail price index 27
Key points 29
Reflection 29
Further reading 30
Exercises 30
3 Choosing wisely: investment appraisal 33
Quantitative methods in action: Bank One credit cards 34
Introduction 35
Measures of investment worth 35
Traditional methods for comparing projects 37
Discounted cash flow techniques 38
Other applications of the compound interest formula 47
Key points 53
Reflection 53
Contents
Further reading 54
Exercises 54
Part II Collecting and interpreting data
4 Collecting data: surveys and samples 59
Quantitative methods in action: The British Government's 10 year
plan for transport 60
Introduction 62
The basics of sampling 62
Questionnaire design 65
Simple random sampling 67
Stratified sampling 70
Multi stage sampling 70
Cluster sampling 73
Systematic sampling 73
Quota sampling 74
Other sampling methods 75
Secondary sources of data 76
Reflection 76
Key points 77
Further reading 78
Exercises 78
5 Finding patterns in data: charts and tables 81
Quantitative methods in action: Do British people work longer hours
than people in other EU countries? 82
Introduction 84
Data classification 84
Tabulation of data 86
Diagrammatic representation of data 93
Creating charts with Excel 104
Creating charts with SPSS 108
Reflection 117
Key points 118
Further reading 119
Exercises 119
6 Making sense of data: averages and measures of spread 123
Quantitative methods in action: The UK National Census 2001 124
Introduction 126
Measures of location 126
Measures of spread 137
The variance and standard deviation 138
Contents
The variance and standard deviation for a frequency distribution 142
Coefficient of variation 144
Box and whisker plots 144
Automatic methods of calculating measures of location and spread 145
Using SPSS to calculate summary statistics 151
Reflection 155
Key points 156
Further reading 157
Exercises 157
Part III Probability and statistics
7 Taking a chance: probability 165
Quantitative methods in action: How to win a million! 166
Introduction 168
Basic ideas 168
The probability of compound events 170
Conditional probability 173
Tree diagrams 174
Bayes' theorem 177
Permutations and combinations 181
Expected value 183
Key points 184
Reflection 184
Further reading 185
Exercises 185
8 The shape of data: probability distributions 188
Quantitative methods in action: Which is safer, flying or driving? 189
Introduction 191
Discrete and continuous probability distributions 191
The binomial distribution 193
The Poisson distribution 200
The normal distribution 204
Reflection 216
Key points 217
Further reading 217
Exercises 217
9 Interpreting with confidence: analysis of sample data 221
Quantitative methods in action: Voting intention prior to the
UK 2005 general election 222
Introduction 223
Samples and sampling 223
Contents
Point estimates 224
Sampling distribution of the mean 225
Confidence intervals for a population mean for large samples 227
Confidence intervals for a population mean for small samples 230
Confidence interval of a percentage 232
Calculation of sample size 233
Finite populations 235
Reflection 235
Key points 236
Further reading 236
Exercises 236
10 Checking ideas: testing a hypothesis 239
Quantitative methods in action: The Northern Ireland seat belt survey 240
Introduction 241
The purpose of hypothesis testing 241
Large sample test for a population mean 242
Small sample test for a population mean 247
The Z test for a population percentage 249
Hypothesis tests involving two population means 251
Hypothesis tests involving two population percentages 259
The chi square hypothesis test 260
SPSS and the chi square test 267
Reflection 272
Key points 273
Further reading 274
Exercises 274
11 Cause and effect: correlation and regression 279
Quantitative methods in action: Could the result of a US presidential
election be predicted? 280
Introduction 281
Scatter diagrams 281
Correlation 284
Linear regression 291
The method of least squares 292
Coefficient of determination 294
Automatic methods of analysing bivariate data 294
SPSS and scatter diagrams 299
SPSS and linear regression 299
Reflection 304
Key points 305
Further reading 305
Exercises 305
Contents '
Part IV Decision making techniques
12 How to make good decisions 313
Quantitative methods in action: Health service review 314
Introduction 315
Payoff tables 315
Decision trees 319
Utility 331
Multi attribute decision making 334
Key points 343
Reflection 343
Further reading 344
Exercises 344
13 Forecasting: time series analysis 351
Quantitative methods in action: Forecasting in the utility industries 352
Introduction 353
The decomposition model 353
Isolating the trend 355
Isolating the seasonal component 359
Analysis of errors 364
Seasonally adjusted series 368
Forecasting using the decomposition model 370
Exponential smoothing 371
Using spreadsheets in time series analysis 373
Key points 377
Reflection 377
Further reading 378
Exercises 378
14 Making the most of things: linear programming 381
Quantitative methods in action: Crew recovery at Continental
Airlines 382
Introduction 383
Basics of linear programming 383
Model formulation 383
Graphical solution of linear programming problems 385
Finding the optimum the isoprofit/cost method 386
Finding the optimum an alternative method 389
Tight and slack constraints 390
Sensitivity analysis 390
Minimisation problems 394
Using Excel's 'Solver' to solve linear programming problems 396
Key points 400
Reflection 401
Contents 401
Further reading
Exercises
15 Planning large projects: network analysis 406
Quantitative methods in action: How did they build that? The Second ^
Severn Crossing
Introduction
The activity on node method
The float of an activity
Resource scheduling
41b
Cost scheduling
Key points 421
Reflection
Further reading
Exercises
16 Managing stock levels: materials management and
inventory control
Quantitative methods in action: Tesco's in store ordering 4/9
430
Introduction Q
Costs of holding stock
The Economic Order Quantity (EOQ) model
436
Discounts .,,
¦ i 43d
Uncertainty in demand
Key points 43g
Reflection m
Further reading ^Q
Exercises
. 442
17 Taking account of randomness
Quantitative methods in action: Car body production at
PSA Peugeot Citroen ^
Introduction ^
Queuing problems ^6
Random numbers ^o
Tabular simulation gQ
Accuracy of simulation results
Spreadsheet simulation 4
Key points 454
Reflection 45c
Further reading .^
Exercises
459
Appendix 1: Statistical tables 71
Appendix 2: Mathematical and statistical formulae
479
Index |
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| author | Oakshott, Les |
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| ctrlnum | (OCoLC)255483689 (DE-599)BVBBV021717835 |
| dewey-full | 658.0015195 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
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| dewey-search | 658.0015195 |
| dewey-sort | 3658.0015195 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
| edition | 3. ed. |
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| id | DE-604.BV021717835 |
| illustrated | Illustrated |
| index_date | 2024-07-02T15:22:28Z |
| indexdate | 2024-07-09T20:42:24Z |
| institution | BVB |
| isbn | 1403949913 9781403949912 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-014931550 |
| oclc_num | 255483689 |
| open_access_boolean | |
| owner | DE-945 DE-11 |
| owner_facet | DE-945 DE-11 |
| physical | X, 484 S. graph. Darst. |
| publishDate | 2006 |
| publishDateSearch | 2006 |
| publishDateSort | 2006 |
| publisher | Palgrave |
| record_format | marc |
| spelling | Oakshott, Les Verfasser aut Essential quantitative methods for business, management and finance ; [with Excel and SPSS] Les Oakshott Essential quantitative methods for business, management and finance 3. ed. Houndmills [u.a.] Palgrave 2006 X, 484 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Lehrbuch / Textbook - 28 Statistische Entscheidungstheorie Statistische Methode / Mathematik Statistische Entscheidungstheorie (DE-588)4077850-2 gnd rswk-swf Unternehmensplanung (DE-588)4078609-2 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Investition (DE-588)4027556-5 gnd rswk-swf Wirtschaftsmathematik (DE-588)4066472-7 gnd rswk-swf Finanzierung (DE-588)4017182-6 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=014931550&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 ; [with Excel and SPSS] Lehrbuch / Textbook - 28 Statistische Entscheidungstheorie Statistische Methode / Mathematik Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Unternehmensplanung (DE-588)4078609-2 gnd Datenanalyse (DE-588)4123037-1 gnd Investition (DE-588)4027556-5 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Finanzierung (DE-588)4017182-6 gnd |
| subject_GND | (DE-588)4077850-2 (DE-588)4078609-2 (DE-588)4123037-1 (DE-588)4027556-5 (DE-588)4066472-7 (DE-588)4017182-6 |
| title | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] |
| title_alt | Essential quantitative methods for business, management and finance |
| title_auth | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] |
| title_exact_search | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] |
| title_exact_search_txtP | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] |
| title_full | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] Les Oakshott |
| title_fullStr | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] Les Oakshott |
| title_full_unstemmed | Essential quantitative methods for business, management and finance ; [with Excel and SPSS] Les Oakshott |
| title_short | Essential quantitative methods |
| title_sort | essential quantitative methods for business management and finance with excel and spss |
| title_sub | for business, management and finance ; [with Excel and SPSS] |
| topic | Lehrbuch / Textbook - 28 Statistische Entscheidungstheorie Statistische Methode / Mathematik Statistische Entscheidungstheorie (DE-588)4077850-2 gnd Unternehmensplanung (DE-588)4078609-2 gnd Datenanalyse (DE-588)4123037-1 gnd Investition (DE-588)4027556-5 gnd Wirtschaftsmathematik (DE-588)4066472-7 gnd Finanzierung (DE-588)4017182-6 gnd |
| topic_facet | Lehrbuch / Textbook - 28 Statistische Entscheidungstheorie Statistische Methode / Mathematik Unternehmensplanung Datenanalyse Investition Wirtschaftsmathematik Finanzierung |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014931550&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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