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1 2019-03-26 147.29 KB Quantitative Methods for Business chapter 4.pdf
C H A P T E R 4 Filling up – fuelling quantitative analysis Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ understand key statistical terms distinguish between primary and secondary data recognize different types of data arrange data
2 2019-03-26 150.43 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 2.pdf
Starting the Inquiry. `But what happened then?' `I'll tell you what happened then,' said Fiennes with a grim emphasis. `When we got back into that garden the first thing we saw was Traill, the lawyer; I can see him now with his black hat and
3 2019-03-26 153.94 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 7.pdf
7 Summarizing and Presenting Results `Quite so!' `You see, Lady Swaffham, if ever you want to commit a murder, the thing you've got to do is to prevent people from associatin' their ideas. Most people don't associate anythin' ±
4 2019-03-26 159.28 KB Quantitative Methods for Business chapter 11.pdf
C H A P T E R 11 Finding the right way – analysing decisions Chapter objectives This chapter will help you to: ■ ■ ■ work out expected values using probabilities appreciate attitudes to risk and apply decision rules construct decision trees and
5 2019-03-26 173.54 KB Quantitative Methods for Business chapter 3.pdf
C H A P T E R 3 Dealing with curves without going round the bend Chapter objectives This chapter will help you to: ■ ■ ■ ■ deal with types of non-linear equations interpret and analyse non-linear business models apply differential calculus to non-linear
6 2019-03-26 176.41 KB Quantitative Methods for Business chapter 10.pdf
C H A P T E R 10 Is it worth the risk? – introducing probability Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ measure risk and chance using probability recognize the types of probability use Venn diagrams to represent alternatives
7 2019-03-26 176.85 KB Quantitative Methods for Business chapter 8.pdf
C H A P T E R 8 Counting the cost – summarizing money variables over time Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ employ simple and aggregate index numbers to measure price changes over time work out weighted aggregate price
8 2019-03-26 181.50 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 3.pdf
3 Defining the Inquiry `Then how do you know?' `I never guess' Sherlock Holmes, The Sign of Four Sherlock Holmes realized that what often led the police of his day astray was their tendency to adopt theories of a crime based on the wrong facts.
9 2019-03-26 191.38 KB Quantitative Methods for Business chapter 12.pdf
C H A P T E R 12 Accidents and incidence – discrete probability distributions and simulation Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ ■ work out the probabilities for a basic discrete probability distribution calculate the mean
10 2019-03-26 197.05 KB Quantitative Methods for Business chapter 13.pdf
C H A P T E R 13 Smooth running – continuous probability distributions and basic queuing theory Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ make use of the normal distribution and appreciate its importance employ the Standard Normal
11 2019-03-26 232.23 KB Quantitative Methods for Business chapter 9.pdf
C H A P T E R 9 Long distance – analysing time series data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ identify the components of time series employ classical decomposition to analyse time series data produce forecasts of future
12 2019-03-26 241.36 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 1.pdf
Order at all points. Counting and Accounting. A man is driving through the bush one day and has to stop while a farmer takes his sheep across the road. There are while a lot of sheep, so it takes a fair while. When they've all passed by, the man goes
13 2019-03-26 265.60 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 4.pdf
4 Methods of Inquiry `It is a capital mistake to theorize before one has data!' `I have no data yet. It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts'
14 2019-03-26 272.50 KB Quantitative Methods for Business chapter 16.pdf
C H A P T E R 16 Test driving – sampling theory, estimation and hypothesis testing Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ ■ understand the theory behind the use of sample results for prediction make use of the t distribution
15 2019-03-26 368.86 KB Quantitative Methods for Business chapter 1.pdf
C H A P T E R 1 Setting off. Chapter objectives This chapter will help you to: ■ assess the importance businesses attach to quantitative method.s ■ make full use of this book. ■ apply arithmetical procedures. ■ use the technology: calculators and computer
16 2019-03-26 369.32 KB QUANTITATIVE EASING LESSONS FROM HISTORY.pdf
QUANTITATIVE EASING - LESSONS FROM HISTORY GEORGE TREFGARNE Central for Policy Studies Source: http://www.cps.org.uk INTRODUCTION There can be few fields of human endeavour in which history counts
17 2019-03-26 433.36 KB Quantitative Methods for Business chapter 2.pdf
C H A P T E R 2 Getting linear models straight Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ plot and solve linear equations apply basic break-even analysis interpret inequalities undertake simple linear programming using graphs use the
18 2019-03-26 652.50 KB INTRODUCTION TO QUANTITATIVE RESEARCH METHODS CHAPTER 5.pdf
5 `DATA! DATA! DATA!' Analysing data from the inquiry 'Data! data! data!' he cried impatiently. 'I can't make bricks out of clay' Sherlock Holmes, The Adventure of the Copper Beeches `Data' never comes to the social scientist
19 2019-03-26 740.67 KB Quantitative Methods for Business chapter 6.pdf
C H A P T E R 6 General directions – summarizing data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ understand and use summary measures of location; the mode, median and arithmetic mean understand and use summary measures of spread;
20 2019-03-26 1,016.25 KB Quantitative Methods for Business chapter 17.pdf
C H A P T E R 17 High performance – statistical inference for comparing population means and bivariate data Chapter objectives This chapter will help you to: ■ test hypotheses on the difference between two population means using independent samples

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