Menu Expand
Statistics for Economics, Accounting and Business Studies

Statistics for Economics, Accounting and Business Studies

Michael Barrow

(2017)

Additional Information

Book Details

Abstract

Do you need to brush up on your statistical skills to truly excel in your economics or business course?

 

If you want to increase your confidence in statistics then this is the perfect book for you. The 7th edition of Statistics for Economics, Accounting and Business Studies continues to present a user-friendly and concise introduction to a variety of statistical tools and techniques. Throughout the text, the author demonstrates how and why these techniques can be used to solve real-life problems, highlighting common mistakes and assuming no prior knowledge of the subject.


Table of Contents

Section Title Page Action Price
Cover Cover
Title Page iii
Copyright Page iv
Dedication v
Contents vii
Guided tour of the book xii
Publisher’s acknowledgements xiv
Preface to the seventh edition xvi
Acknowledgements xvii
Custom publishing xviii
Introduction 1
1 Descriptive statistics 7
Learning outcomes 8
Introduction 8
Summarising data using graphical techniques 10
Looking at cross-section data: wealth in the United Kingdom in 2005 16
Summarising data using numerical techniques 27
The box and whiskers diagram 47
Time-series data: investment expenditures 1977–2009 48
Graphing bivariate data: the scatter diagram 63
Data transformations 67
The information and data explosion 70
Writing statistical reports 72
Guidance to the student: how to measure your progress 74
Summary 75
Key terms and concepts 75
Reference 76
Formulae used in this chapter 77
Problems 78
Answers to exercises 84
Appendix 1A: Σ notation 88
Problems on Σ notation 89
Appendix 1B: E and V operators 90
Appendix 1C: Using logarithms 91
Problems on logarithms 92
2 Probability 93
Learning outcomes 93
Probability theory and statistical inference 94
The definition of probability 94
Probability theory: the building blocks 97
Events 98
Bayes’ theorem 110
Decision analysis 112
Summary 116
Key terms and concepts 117
Formulae used in this chapter 118
Problems 118
Answers to exercises 124
3 Probability distributions 128
Learning outcomes 128
Introduction 129
Random variables and probability distributions 130
The Binomial distribution 131
The Normal distribution 137
The distribution of the sample mean 145
The relationship between the Binomial and Normal distributions 151
The Poisson distribution 153
Summary 156
Key terms and concepts 156
Formulae used in this chapter 157
Problems 157
Answers to exercises 162
4 Estimation and confidence intervals 164
Learning outcomes 164
Introduction 165
Point and interval estimation 165
Rules and criteria for finding estimates 166
Estimation with large samples 170
Precisely what is a confidence interval? 173
Estimation with small samples: the t distribution 181
Summary 186
Key terms and concepts 187
Formulae used in this chapter 188
Problems 188
Answers to exercises 191
Appendix: Derivations of sampling distributions 193
5 Hypothesis testing 195
Learning outcomes 195
Introduction 196
The concepts of hypothesis testing 196
The Prob-value approach 203
Significance, effect size and power 204
Further hypothesis tests 207
Hypothesis tests with small samples 211
Are the test procedures valid? 213
Hypothesis tests and confidence intervals 214
Independent and dependent samples 215
Issues with hypothesis testing 218
Summary 219
Key terms and concepts 220
Reference 220
Formulae used in this chapter 221
Problems 221
Answers to exercises 226
6 The X2 and F distributions 230
Learning outcomes 230
Introduction 231
The x2 distribution 231
The F distribution 245
Analysis of variance 248
Summary 255
Key terms and concepts 255
Formulae used in this chapter 256
Problems 256
Answers to exercises 259
Appendix Use of x2 and F distribution tables 261
7 Correlation and regression 263
Learning outcomes 263
Introduction 264
What determines the birth rate in developing countries? 265
Correlation 267
Regression analysis 276
Inference in the regression model 283
Route map of calculations 291
Some other issues in regression 293
Gapminder again 297
Summary 298
Key terms and concepts 299
References 299
Formulae used in this chapter 300
Problems 301
Answers to exercises 304
8 Multiple regression 307
Learning outcomes 307
Introduction 308
Principles of multiple regression 309
What determines imports into the United Kingdom? 310
Finding the right model 330
Summary 338
Key terms and concepts 339
References 339
Formulae used in this chapter 340
Problems 340
Answers to exercises 344
9 Data collection and sampling methods 349
Learning outcomes 349
Introduction 350
Using secondary data sources 351
Collecting primary data 355
Random sampling 356
Calculating the required sample size 365
Collecting the sample 367
Case study: the UK Living Costs and Food Survey 370
Summary 371
Key terms and concepts 372
References 372
Formulae used in this chapter 373
Problems 373
10 Index numbers 374
Learning outcomes 374
Introduction 375
A simple index number 376
A price index with more than one commodity 377
Using expenditures as weights 385
Quantity and expenditure indices 387
The Consumer Price Index 393
Discounting and present values 394
Inequality indices 399
The Lorenz curve 399
The Gini coefficient 402
Concentration ratios 407
Summary 409
Key terms and concepts 409
References 410
Formulae used in this chapter 411
Problems 411
Answers to exercises 416
Appendix: deriving the expenditure share form of the Laspeyres price index 419
11 Seasonal adjustment of time-series data 420
Learning outcomes 420
Introduction 421
The components of a time series 421
Forecasting 432
Further issues 433
Summary 434
Key terms and concepts 435
Problems 436
Answers to exercises 438
List of important formulae 442
Appendix: Tables 448
Table A1 Random number table 448
Table A2 The standard Normal distribution 450
Table A3 Percentage points of the t distribution 451
Table A4 Critical values of the x2 distribution 452
Table A5(a) Critical values of the F distribution (upper 5% points) 454
Table A5(b) Critical values of the F distribution (upper 2.5% points) 456
Table A5(c) Critical values of the F distribution (upper 1% points) 458
Table A5(d) Critical values of the F distribution (upper 0.5% points) 460
Table A6 Critical values of Spearman’s rank correlation coefficient 462
Table A7 Critical values for the Durbin–Watson test at 5% significance level 463
Answers and Commentary on Problems 464
Index 492
A 492
B 492
C 492
D 493
E 493
F 494
G 494
H 494
I 495
J 495
L 495
M 495
N 496
O 496
P 496
Q 497
R 497
S 498
T 498
U 499
V 499
W 499
X 499
Y 499
Z 499