Essential Statistics for Economics, Business And Management

by Bradley, Teresa

• ISBN13: 9780470850794
• ISBN10: 0470850795
• Edition: 1st
• Format: Paperback
• Copyright: 2007-06-05
• Publisher: Wiley

Summary

Essential Statistics for Economics, Business and Management 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 book 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. Emphasis is placed on verbalising concepts, problems and results of statistical analysis. This will help students learn how to start a problem, complete the calculations, and report the results in a way that makes sense to a non-statistician. Each concept is introduced with a brief but plausible explanation followed by Worked Examples. The Worked Examples will provide students with the necessary practice that they need in order to succeed at the subject. Emphasis is also placed on ‘learning through doing problems. Excel is used to encourage students in doing problems and to enhance understanding (with links to datasets online). Minitab printouts are also included in the text. Skills Development Exercises with brief solutions are included within the chapters, and Progress Exercises on theory and applications are provided at the end of each chapter. Solutions to all the worked examples and progress exercises are available as an appendix. Web-based supplementary materials will be provided for lecturers adopting the text, including additonal exercises and solutions, excel datasets and exercises, powerpoint slides with key formula, figures and tables. Students can access an online glossary and weblinks.

Author Biography

Teresa Bradley is the author of Essential Statistics for Economics, Business and Management, published by Wiley.

Table of Contents

Introduction

Data collection and its graphical presentation

Introduction to statistics

Data collection, samples, surveys and experiments

Some sources of statistical data

Sorting and classifying data

Bar charts and pie chart

Plotting in Excel

Graphs: histograms and Ogives

Graphs in Excel

Line and Lorenz graphs

Graphical misrepresentation of data

Descriptive statistics

Summary statistics for raw data: mean, quartiles and mode

Summary statistics for grouped data: mean, quartiles and mode

Measures of dispersion for raw data. Variance, QD, IQR

Measures of dispersion for grouped data. Variance, QD, IQR

Use of calculator for descriptive statistics

Other descriptive statistics. CV, skewness and box plots

Descriptive statistics in Excel

Regression and correlation Introduction

Introduction to regression. Scatter plots and lines

The least-squares line

Criteria and equation for a best fit line

Excel: XY (Scatter) plots, least-squares line and formulae

Coefficient of Determination and Correlation

Rank correlation

Calculate and interpret rank correlation

Use the calculator for regression and correlation

Why bother with formulae?

Probability

Introduction to probability

The multiplication and addition rules for probability

Joint, marginal and conditional probability

Bayes Rule

Introduction Probability Distributions

Introduction: probability distributions and random variables

The Binomial probability distributions

The Poisson probability distributions

Normal probability distribution

Expected values

Sampling distributions for means and proportions

Statistical inference and sampling distribution of the mean

Sampling distribution for proportions for n >30

Some desirable properties of estimators

Confidence intervals for means and proportions

Confidence intervals for means

Confidence intervals for proportions

Precision of a confidence interval: sample size determination

Confidence intervals for the difference between proportions

Tests of hypothesis for means and proportions

Tests of hypothesis for the population mean

Tests of hypothesis for a population proportion

Tests of hypothesis for difference between means and proportions

Minitab and Excel for confidence intervals and tests of hypothesis

Inference from small samples. Confidence intervals and tests of hypothesis

Inference from small samples: Normal population, I? known

The Student t-distribution

Inference from small samples: Normal population, I? not known

Differences between means, small independent samples.<

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