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 |