Essential Statistics for Economics, Business and Management / Edition 1

Essential Statistics for Economics, Business and Management / Edition 1

by Teresa Bradley

Essential Statistics for Economics, Business and Management is an indispensable text for students taking an introductory undergraduate course in statistics, as well as being highly relevant for the statistics component of courses in quantitative methods.

Key Features:

  • Assumes no prior knowledge of statistics
  • Emphasis is

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Essential Statistics for Economics, Business and Management is an indispensable text for students taking an introductory undergraduate course in statistics, as well as being highly relevant for the statistics component of courses in quantitative methods.

Key Features:

  • Assumes no prior knowledge of statistics
  • Emphasis is placed on verbalising concepts, problems and results of statistical analysis, thereby helping students to learn how to start a problem, complete calculations and report results in a way that will make sense to a non-statistician.
  • Each concept is introduced with a brief and plausible explanation followed by worked examples. The worked examples provide students with the necessary practice that they need in order to succeed at the subject.
  • Excel and Minitab are used throughout the text to introduce students to statistical software and enhance understanding.
  • Progress exercises on theory and applications are provided at the end of each section for students to test their knowledge.

The accessible style of the text is consistent with that of the highly successful Essential Mathematics for Economics and Business, also by Teresa Bradley and published by John Wiley & Sons, Ltd.

 A comprehensive website to support the book has been produced and includes: PowerPoint slides, datasets, further worked examples, a testbank for lecturers, and additional test exercises for students.

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Product Details

Publication date:
Edition description:
New Edition
Sales rank:
Product dimensions:
7.40(w) x 9.60(h) x 1.50(d)

Meet the Author

Table of Contents

Introduction 1

CHAPTER 1: Data Collection and its Graphical Presentation5

1.1 Introduction to statistics 6

1.2 Data collection: Samples, surveys and experiments 8

1.3 Some sources of statistical data 16

1.4 Sorting and classifying data 18

1.5 Charts: Bar charts, pie charts and plotting in Excel 23

1.6 Graphs: Histograms and Ogives. Graphs in Excel 42

1.7 Line and Lorenz graphs 52

1.8 Misleading graphs 59

CHAPTER 2: Descriptive Statistics 63

2.1 Summary statistics for raw data: Mean, quartiles and mode64

2.2 Summary statistics for grouped data: Mean, quartiles andmode 72

2.3 Measures of dispersion for raw data. Variance, QD, IQR85

2.4 Measures of dispersion for grouped data. Variance, QD, IQR92

2.5 Use of calculator for descriptive statistics 94

2.6 Other descriptive statistics. CV, skewness and box plots96

2.7 Descriptive statistics in Excel 101

CHAPTER 3: Regression and Correlation: Introduction113

3.1 Introduction to regression: Scatter plots and lines 114

3.2 The least-squares line. Criteria and equation for the bestfit line 118

3.3 Excel: XY (scatter) plots, the least-squares lines andformulae 127

3.4 Coefficient of determination and correlation 133

3.5 Rank correlation. Calculate and interpret rank correlation144

3.6 Use the calculator for linear regression and correlation146

3.7 Why bother with formulae? 154

CHAPTER 4: Probability 159

4.1 Introduction to probability 159

4.2 Multiplication and addition rules for probability 170

4.3 Joint, marginal and conditional probability 184

4.4 Bayes' Rule 192

CHAPTER 5: Introduction to Probability Distributions205

5.1 Introduction to probability distributions and randomvariables 206

5.2 The Binomial probability distribution 212

5.3 The Poisson probability distribution 228

5.4 The Normal probability distribution 236

5.5 Expected values (mathematical expectation) 253

CHAPTER 6: Sampling Distributions for Means andProportions 265

6.1 Statistical inference and the sampling distribution of themean 265

6.2 Sampling distribution of proportions 275

6.3 Some desirable properties of estimators 282

CHAPTER 7: Confidence Intervals for Means and Proportions287

7.1 Confidence intervals for the mean 287

7.2 Confidence intervals for proportions 297

7.3 The precision of confidence intervals for the mean 300

7.4 Confidence intervals for differences between means andproportions 304

CHAPTER 8: Tests of Hypothesis for Means and Proportions319

8.1 Hypothesis tests for means 319

8.2 Hypothesis tests for proportions 334

8.3 Hypothesis tests for the difference between means andproportions 337

8.4 Minitab and Excel for confidence intervals and tests ofhypothesis 349

CHAPTER 9: Inference from Small Samples. Confidence Intervalsand Tests of Hypothesis 359

9.1 Inference from small samples: Normal populations, sknown 360

9.2 The Student's t distribution 362

9.3 Inference from small samples: Normal populations, sNOT known 365

9.4 Difference between means. Small independent samples 370

9.5 F-test for equality of two variances 378

9.6 Difference between means, paired samples 382

CHAPTER 10: Analysis of Variance 393

10.1 The rationale behind one-way analysis of variance 393

10.2 One-way analysis of variance 397

10.3 Two-way ANOVA 419

10.4 ANOVA and design of experiment 430

10.5 Excel and Minitab for ANOVA 435

CHAPTER 11: Chi-squared Tests 453

11.1 Introduction 454

11.2 The ?2 probability distribution 454

11.3 Contingency tables 455

11.4 ?2 tests for independence (no association) 456

11.5 ?2 test for homogeneous populations 464

11.6 ?2 tests for the equality of several proportions466

11.7 Goodness of fit tests 478

11.8 ?2 tests in Minitab and Excel 490

CHAPTER 12: Regression Analysis 499

12.1 The simple linear regression model 499

12.2 Inference about the population slope (rate of change)504

12.3 Confidence intervals and prediction intervals at x =x0 513

12.4 Checks on the model assumptions based on residuals plots518

12.5 Regression analysis in Minitab and Excel 521

12.6 Multiple regression 534

APPENDIX A: Technicalities and Conventions for Defining ClassIntervals, Mid-Interval, Widths, Limits, Boundaries 545

APPENDIX B: Formulae for Calculating the Quartiles forGrouped Data 547

APPENDIX C: Outline of Derivation of Formulae (3.2) and (3.3)for the Slope and Intercept of the Least-Squares Line, Y =a + bX 549

APPENDIX D: Brief Review of the Mathematics for theBinomial 551

APPENDIX E: The Number e 555

APPENDIX F: Calculation of Mean and Variance of Proportionsby Expected Values 557

APPENDIX G: Confidence Intervals for Means andProportions 559

APPENDIX H: Degrees of Freedom 561

APPENDIX I: Notes on Summations and Double Summations563

APPENDIX J: Expressing the Estimates of Variance as Sums ofSquares Divided by Degrees of Freedom in Their Simplest Form567

APPENDIX K: Sums of Squares for the One-Way ANOVA 571

APPENDIX L: Fitted Values and Residuals 573

APPENDIX M: Sums of Squares Identity for Two-Way ANOVA575

Chapter Solutions 577

Tables 637

Table 1 Cumulative Binomial Probability tables 637

Table 2 Cumulative Poisson Probabilities 639

Table 3 Normal probability Distribution 641

Table 4 Percentage point for the Normal probability distribution642

Table 5 Percentage points of the Student’st-distribution 643

Table 6 0.5% points of the F-distribution 644

Table 7 Percentage points for the Chi-squared distribution648

Table 8 Table of random numbers 649

Glossary 651

Index 653

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