Title:
Essential statistics for economics, business and management
Personal Author:
Publication Information:
Chichester, England : John Wiley & Sons, 2007
Physical Description:
x, 663 p. : ill. ; 25 cm.
ISBN:
9780470850794
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010172463 | HB137 B72 2007 | Open Access Book | Book | Searching... |
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Summary
Summary
Essential Statistics for Economics, Business and Management is aimed at introductory undergraduate courses and assumes no prior knowledge of statistics. It will also be highly relevant for the statistics component of courses in quantitative methods. The style of the text is similar to that of the highly successful Essential Mathematics for Economics and Business by Teresa Bradley and Paul Patton, with many worked examples integrated throughout.
Author Notes
Teresa Bradley is the author of Essential Statistics for Economics, Business and Management, published by Wiley.
Table of Contents
| Introduction |
| 1 Data collection and its graphical presentation |
| 1.1 Introduction to statistics |
| 1.2 Data collection, samples, surveys and experiments |
| 1.3 Some sources of statistical data |
| 1.4 Sorting and classifying data |
| 1.5 Bar charts and pie chart |
| Plotting in Excel |
| 1.6 Graphs: histograms and Ogives |
| Graphs in Excel |
| 1.7 Line and Lorenz graphs |
| 1.8 Graphical misrepresentation of data |
| 2 Descriptive statistics |
| 2.1 Summary statistics for raw data: mean, quartiles and mode |
| 2.2 Summary statistics for grouped data: mean, quartiles and mode |
| 2.3 Measures of dispersion for raw data. Variance, QD, IQR |
| 2.4 Measures of dispersion for grouped data. Variance, QD, IQR |
| 2.5 Use of calculator for descriptive statistics |
| 2.6 Other descriptive statistics. CV, skewness and box plots |
| 2.7 Descriptive statistics in Excel |
| 3 Regression and correlation Introduction |
| 3.1 Introduction to regression. Scatter plots and lines |
| 3.2 The least-squares line |
| Criteria and equation for a best fit line |
| 3.3 Excel: XY (Scatter) plots, least-squares line and formulae |
| 3.4 Coefficient of Determination and Correlation |
| 3.5 Rank correlation |
| Calculate and interpret rank correlation |
| 3.6 Use the calculator for regression and correlation |
| 3.7 Why bother with formulae? |
| 4 Probability |
| 4.1 Introduction to probability |
| 4.2 The multiplication and addition rules for probability |
| 4.3 Joint, marginal and conditional probability |
| 4.4 Bayes Rule |
| 5 Introduction Probability Distributions |
| 5.1 Introduction: probability distributions and random variables |
| 5.2 The Binomial probability distributions |
| 5.3 The Poisson probability distributions |
| 5.4 Normal probability distribution |
| 5.5 Expected values |
| 6 Sampling distributions for means and proportions |
| 6.1 Statistical inference and sampling distribution of the mean |
| 6.2 Sampling distribution for proportions for n > 30 |
| 6.3 Some desirable properties of estimators |
| Confidence intervals for means and proportions |
| 7.1 Confidence intervals for means |
| 7.2 Confidence intervals for proportions |
| 7.3 Precision of a confidence interval: sample size determination |
| 7.4 Confidence intervals for the difference between proportions |
| 8 Tests of hypothesis for means and proportions |
| 8.1 Tests of hypothesis for the population mean |
| 8.2 Tests of hypothesis for a population proportion |
| 8.3 Tests of hypothesis for difference between means and proportions |
| 8.4 Minitab and Excel for confidence intervals and tests of hypothesis |
| 9 Inference from small samples. Confidence intervals and tests of hypothesis |
| 9.1 Inference from small samples: Normal population, I? known |
| 9.2 The Student t-distribution |
| 9.3 Inference from small samples: Normal population, I? not known |
| 9.4 Differences between means, small independent samples. |
