Quantitative approaches in business studies:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
Pitman
1993
|
| Edition: | 3. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | XII, 384 S. graph. Darst. |
| ISBN: | 0273601164 |
Staff View
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Record in the Search Index
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|---|---|
| adam_text | Preface ix
Note to the reader xi
How this book is organised xii
PART ONE NUMBERS - HOW WE HANDLE THEM
1 Tools of the trade: basic numeracy skills 3
Objectives • Almost everybody s problem • Numbers and how we
combine them • Operations with fractions • Decimals: a special kind of
fraction • Significant figures and rounding • Percentages • Letters for
numbers • Powers and roots • The use of brackets • Solving equations •
Equations from problems • Some unfamiliar symbols • Simultaneous
equations • Straight line graphs • Other types of graph • Making use of
graphs • A business application • A word about calculators • Conclusion
2 Computational aids: LOTUS 1-2-3 and MINITAB 29
Introduction • Software for statistics • The datasets and worksheets
PART TWO NUMBERS - A MEANS OF COMMUNICATION
3 Obtaining the figures: sampling methods 35
Objectives • The managing director s problem • Multifarious
measurements • Whence information? • Collect-it-yourself • Where to
find second-hand statistics • A word of warning • Practical exercises •
Case study • Case study problem • Case study questions
4 Making sense of the figures: data interpretation 50
Objectives • The factory manager s problem • Errors and explanations •
What next? • Practical exercises
5 Presenting the figures: tables and diagrams 54
Objectives • The management trainee s problem • The narrative approach
• The dos and don ts of effective tabulation • More complicated tables •
Easily digested diagrams • Tabulating quantitative data • Diagrams from
frequency tables • Some simple graphs • Tables and diagrams with
MINITAB and LOTUS • How not to do it • Practical exercises • Case
study problem and question
vi Contents
6 Summarising the figures: measures of location and spread 88
Objectives • The trade union leader s problem • What needs to be
measured • Measuring location • Measuring spread • Summary measures
with MINITAB and LOTUS • Which should we choose? • Practical
exercises • Case study problem and question
7 Measuring changes: index numbers 109
Objectives • The investor s problem • What is an index number? •
Diversifying the diet • Weighting the index • Calculating the indices •
Deciding which to use • The Retail Price Index • What s the use of the
RPI? • Advising the investor • Some technical considerations • Other
kinds of index • Practical exercises • Case study problem and question
PART THREE NUMBERS - A BASIS FOR DEDUCTION
8 A firm foundation: elementary probability 125
Objectives • The product development manager s problem • Reckoning
the chances • Some easy examples • Putting probabilities together •
Tackling problems • Giving probabilities a cash value • Decision tables •
Decision trees • Drawbacks of the method • Practical exercises • Case
study problem and question
9 Patterns of probability: some distributions 146
Objectives • The quality manager s problem • The idea of a probability
distribution • The binomial distribution • The Poisson distribution • The
normal distribution • Some general points about the normal distribution
• Some further points • Probabilities from the computer • Practical
exercises • Case study problem and question
10 Estimating from samples: inference 172
Objectives • The dissatisfied customer s problem • A simple example •
The sampling distribution of percentages • Applications of STEP • The
sampling distribution of means • The problem revisited • Practical
exercises • Case study problem and question
11 Checking a theory: hypothesis testing 191
Objectives • The training manager s problem • Testing hypotheses about
percentages • Further points about hypothesis testing • Testing
hypotheses about means of large samples • An alternative way of
carrying out hypothesis tests • Testing hypotheses about the means of
small samples • Testing the difference between two sample means •
Testing hypotheses about more than one proportion • Using the x2
distribution • More about 2 • Single-row tables • A cautionary note •
Contents vii
Hypothesis testing with MINITAB and LOTUS • Conclusion • Practical
exercises • Case study problem and question
12 Looking for connections: correlation 216
Objectives • The sales manager s problem • What kind of relationship? •
Using the scattergraph • Measuring the strength of a relationship: the
rank correlation • Interpreting the rank correlation • Measuring the
strength of a relationship: Pearson s coefficient • Interpreting Pearson s
coefficient • What we have - and haven t - proved • Correlation with
MINITAB and LOTUS • Practical exercises • Case study problem and
question
PART FOUR NUMBERS - A TOOL OF PLANNING
13 Spotting the relationship: line fitting 237
Objectives • More problems for the sales manager! • What is a well-
fitting line ? • Calculating the regression line • Regression with
MINITAB and LOTUS • Forecasting the future: when can we do it? •
Forecasting a steady percentage growth • More uses for semi-log graphs •
Logarithmic graphs via LOTUS and MINITAB • How far have we got?
• Practical Exercises • Case study problem and question
14 More about forecasting: time-series and exponential
smoothing 261
Objectives • The airline manager s problem • Forecasting from a short-
term pattern • Extracting the trend • Analysing the seasonal variations •
Getting a forecast • Other patterns of variation • Forecasting the pork
pie sales figures • Forecasting in an unpredictable situation • Features
of exponential smoothing • Software for forecasting • The story
continues ... • Practical exercises • Case study problem and question
15 Allowing for interest: financial mathematics 279
Objectives • The management accountant s problem • The fundamentals
of compound interest • Applications of the compound interest formula •
The idea of present value • Applications of discounting • Some further
points • Comparing investments • Computational note • Practical
exercises • Case study problem and question
16 Planning an inventory policy: stock control 297
Objectives • The small businessman s problem • The information needed
• Simplifying the problem • Solving the simplified problem • Eliminating
some assumptions • Making and using • Allowing stock-outs • The effect
of errors in estimates • Further possibilities • Practical exercises • Case
study problem and question
viii Contents
17 Planning production levels: linear programming 311
Objectives • The production manager s problem • Setting up the model •
Graphing the model • Finding the best solution • Varying the constraints
• Changes in the profits • A different type of problem • Reservations
and conclusions • Practical exercises • Case study problem and question
18 Planning a project: network analysis 328
Objectives • The office supervisor s problem • Drawing up a precedence
table • Constructing the network • Numbering the network • An
alternative way of drawing the network • The shortest time for the job •
Finding the floats • Making the best of it • Limitations of the method •
Practical exercises • Case study problem and question
19 Cutting down on queues: simulation 343
Objectives • The computer manager s problem • Building up the picture
• Imitating nature • Carrying out the simulation • What can we
simulate? • Software for simulation • Practical exercises • Case study
problem and question
Appendices 355
1 Suggestions for further reading 357
2 Solutions to selected practical exercises 359
3 Random sampling numbers 366
4 Cumulative binomial probabilities 367
5 Cumulative Poisson probabilities 369
6 Areas under the standard normal curve 371
7 Percentage points of the 2 distribution 372
8 The correlation coefficient 375
9 The /-distribution 376
Index 377
|
| adam_txt |
Preface ix
Note to the reader xi
How this book is organised xii
PART ONE NUMBERS - HOW WE HANDLE THEM
1 Tools of the trade: basic numeracy skills 3
Objectives • Almost everybody's problem • Numbers and how we
combine them • Operations with fractions • Decimals: a special kind of
fraction • Significant figures and rounding • Percentages • Letters for
numbers • Powers and roots • The use of brackets • Solving equations •
Equations from problems • Some unfamiliar symbols • Simultaneous
equations • Straight line graphs • Other types of graph • Making use of
graphs • A business application • A word about calculators • Conclusion
2 Computational aids: LOTUS 1-2-3 and MINITAB 29
Introduction • Software for statistics • The datasets and worksheets
PART TWO NUMBERS - A MEANS OF COMMUNICATION
3 Obtaining the figures: sampling methods 35
Objectives • The managing director's problem • Multifarious
measurements • Whence information? • Collect-it-yourself • Where to
find second-hand statistics • A word of warning • Practical exercises •
Case study • Case study problem • Case study questions
4 Making sense of the figures: data interpretation 50
Objectives • The factory manager's problem • Errors and explanations •
What next? • Practical exercises
5 Presenting the figures: tables and diagrams 54
Objectives • The management trainee's problem • The narrative approach
• The dos and don'ts of effective tabulation • More complicated tables •
Easily digested diagrams • Tabulating quantitative data • Diagrams from
frequency tables • Some simple graphs • Tables and diagrams with
MINITAB and LOTUS • How not to do it • Practical exercises • Case
study problem and question
vi Contents
6 Summarising the figures: measures of location and spread 88
Objectives • The trade union leader's problem • What needs to be
measured • Measuring location • Measuring spread • Summary measures
with MINITAB and LOTUS • Which should we choose? • Practical
exercises • Case study problem and question
7 Measuring changes: index numbers 109
Objectives • The investor's problem • What is an index number? •
Diversifying the diet • Weighting the index • Calculating the indices •
Deciding which to use • The Retail Price Index • What's the use of the
RPI? • Advising the investor • Some technical considerations • Other
kinds of index • Practical exercises • Case study problem and question
PART THREE NUMBERS - A BASIS FOR DEDUCTION
8 A firm foundation: elementary probability 125
Objectives • The product development manager's problem • Reckoning
the chances • Some easy examples • Putting probabilities together •
Tackling problems • Giving probabilities a cash value • Decision tables •
Decision trees • Drawbacks of the method • Practical exercises • Case
study problem and question
9 Patterns of probability: some distributions 146
Objectives • The quality manager's problem • The idea of a probability
distribution • The binomial distribution • The Poisson distribution • The
normal distribution • Some general points about the normal distribution
• Some further points • Probabilities from the computer • Practical
exercises • Case study problem and question
10 Estimating from samples: inference 172
Objectives • The dissatisfied customer's problem • A simple example •
The sampling distribution of percentages • Applications of STEP • The
sampling distribution of means • The problem revisited • Practical
exercises • Case study problem and question
11 Checking a theory: hypothesis testing 191
Objectives • The training manager's problem • Testing hypotheses about
percentages • Further points about hypothesis testing • Testing
hypotheses about means of large samples • An alternative way of
carrying out hypothesis tests • Testing hypotheses about the means of
small samples • Testing the difference between two sample means •
Testing hypotheses about more than one proportion • Using the x2
distribution • More about \2 • Single-row tables • A cautionary note •
Contents vii
Hypothesis testing with MINITAB and LOTUS • Conclusion • Practical
exercises • Case study problem and question
12 Looking for connections: correlation 216
Objectives • The sales manager's problem • What kind of relationship? •
Using the scattergraph • Measuring the strength of a relationship: the
rank correlation • Interpreting the rank correlation • Measuring the
strength of a relationship: Pearson's coefficient • Interpreting Pearson's
coefficient • What we have - and haven't - proved • Correlation with
MINITAB and LOTUS • Practical exercises • Case study problem and
question
PART FOUR NUMBERS - A TOOL OF PLANNING
13 Spotting the relationship: line fitting 237
Objectives • More problems for the sales manager! • What is a 'well-
fitting line'? • Calculating the regression line • Regression with
MINITAB and LOTUS • Forecasting the future: when can we do it? •
Forecasting a steady percentage growth • More uses for semi-log graphs •
Logarithmic graphs via LOTUS and MINITAB • How far have we got?
• Practical Exercises • Case study problem and question
14 More about forecasting: time-series and exponential
smoothing 261
Objectives • The airline manager's problem • Forecasting from a short-
term pattern • Extracting the trend • Analysing the seasonal variations •
Getting a forecast • Other patterns of variation • Forecasting the pork
pie sales figures • Forecasting in an unpredictable situation • Features
of exponential smoothing • Software for forecasting • The story
continues . • Practical exercises • Case study problem and question
15 Allowing for interest: financial mathematics 279
Objectives • The management accountant's problem • The fundamentals
of compound interest • Applications of the compound interest formula •
The idea of present value • Applications of discounting • Some further
points • Comparing investments • Computational note • Practical
exercises • Case study problem and question
16 Planning an inventory policy: stock control 297
Objectives • The small businessman's problem • The information needed
• Simplifying the problem • Solving the simplified problem • Eliminating
some assumptions • Making and using • Allowing stock-outs • The effect
of errors in estimates • Further possibilities • Practical exercises • Case
study problem and question
viii Contents
17 Planning production levels: linear programming 311
Objectives • The production manager's problem • Setting up the model •
Graphing the model • Finding the best solution • Varying the constraints
• Changes in the profits • A different type of problem • Reservations
and conclusions • Practical exercises • Case study problem and question
18 Planning a project: network analysis 328
Objectives • The office supervisor's problem • Drawing up a precedence
table • Constructing the network • Numbering the network • An
alternative way of drawing the network • The shortest time for the job •
Finding the floats • Making the best of it • Limitations of the method •
Practical exercises • Case study problem and question
19 Cutting down on queues: simulation 343
Objectives • The computer manager's problem • Building up the picture
• Imitating nature • Carrying out the simulation • What can we
simulate? • Software for simulation • Practical exercises • Case study
problem and question
Appendices 355
1 Suggestions for further reading 357
2 Solutions to selected practical exercises 359
3 Random sampling numbers 366
4 Cumulative binomial probabilities 367
5 Cumulative Poisson probabilities 369
6 Areas under the standard normal curve 371
7 Percentage points of the \2 distribution 372
8 The correlation coefficient 375
9 The /-distribution 376
Index 377 |
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| discipline | Wirtschaftswissenschaften |
| discipline_str_mv | Wirtschaftswissenschaften |
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| index_date | 2024-07-02T22:32:39Z |
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| spelling | Morris, Clare Verfasser (DE-588)129404616 aut Quantitative approaches in business studies Clare Morris 3. ed. London Pitman 1993 XII, 384 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Mathematisches Modell Management -- Statistical methods Decision making -- Mathematical models Statistical decision Betriebsstatistik (DE-588)4006211-9 gnd rswk-swf Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Betriebswirtschaftslehre (DE-588)4069402-1 gnd rswk-swf Wirtschaftsrechnen (DE-588)4136422-3 gnd rswk-swf Unternehmen (DE-588)4061963-1 gnd rswk-swf Betriebswirtschaftslehre (DE-588)4069402-1 s Quantitative Methode (DE-588)4232139-6 s DE-604 Unternehmen (DE-588)4061963-1 s Wirtschaftsrechnen (DE-588)4136422-3 s Betriebsstatistik (DE-588)4006211-9 s 1\p DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016840173&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 |
| spellingShingle | Morris, Clare Quantitative approaches in business studies Mathematisches Modell Management -- Statistical methods Decision making -- Mathematical models Statistical decision Betriebsstatistik (DE-588)4006211-9 gnd Quantitative Methode (DE-588)4232139-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Wirtschaftsrechnen (DE-588)4136422-3 gnd Unternehmen (DE-588)4061963-1 gnd |
| subject_GND | (DE-588)4006211-9 (DE-588)4232139-6 (DE-588)4069402-1 (DE-588)4136422-3 (DE-588)4061963-1 |
| title | Quantitative approaches in business studies |
| title_auth | Quantitative approaches in business studies |
| title_exact_search | Quantitative approaches in business studies |
| title_exact_search_txtP | Quantitative approaches in business studies |
| title_full | Quantitative approaches in business studies Clare Morris |
| title_fullStr | Quantitative approaches in business studies Clare Morris |
| title_full_unstemmed | Quantitative approaches in business studies Clare Morris |
| title_short | Quantitative approaches in business studies |
| title_sort | quantitative approaches in business studies |
| topic | Mathematisches Modell Management -- Statistical methods Decision making -- Mathematical models Statistical decision Betriebsstatistik (DE-588)4006211-9 gnd Quantitative Methode (DE-588)4232139-6 gnd Betriebswirtschaftslehre (DE-588)4069402-1 gnd Wirtschaftsrechnen (DE-588)4136422-3 gnd Unternehmen (DE-588)4061963-1 gnd |
| topic_facet | Mathematisches Modell Management -- Statistical methods Decision making -- Mathematical models Statistical decision Betriebsstatistik Quantitative Methode Betriebswirtschaftslehre Wirtschaftsrechnen Unternehmen |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016840173&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT morrisclare quantitativeapproachesinbusinessstudies |