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Full Description
Clear, practical, and rigorous: Proud's Statistics in Economics shows students how to use and apply data and statistics to solve real problems in economics and business.
Statistics for Economics is the most applied textbook available bringing theory to life through real-world data and problems, while remaining flexible and accessible for students of all mathematical backgrounds.
· Applied and relevant: Every concept is grounded in real-world business and economics examples, helping students see the relevance of statistics from day one. Data analysis exercises, Excel walkthroughs, and dataset-based questions ensure students build practical skills they can use immediately.
· Designed for diverse cohorts: With a maths primer and hundreds of multiple-choice questions, the text supports students from all mathematical backgrounds-ideal for mixed-ability groups and inclusive teaching.
· Engaging and insightful: Moves beyond dry theory with compelling examples-from using Bayes' theorem to locate missing aircraft to exploring bias in election polling-keeping students interested and encouraging deeper thinking.
· End-of-chapter review questions reinforce key concepts and promote critical thinking, while multiple-choice questions embedded throughout each chapter allow students to test their understanding as they learn-encouraging continuous engagement and retention.
· Digitally enriched: The digital edition includes integrated video walkthroughs of worked examples, interactive data exercises using real-world datasets, multiple-choice questions, and flashcards-supporting blended and online learning environments.
Digital formats and resources
This title is available for students and institutions to purchase in a variety of formats: the e-book offers a mobile experience and convenient access along with functionality tools, navigation features and links that offer extra learning support.
For more information about e-books, please visit www.oxfordtextbooks.co.uk/ebooks
Teaching resources for adopting lecturers include:
PowerPoint slides
Test bank
Instructor's Manual
Maths Primer
Contents
1: Introduction
2: Conditional probabilities, joint probabilities, and the chain rule of probability
3: Joint probability distributions and Bayes theorem
4: Independent random variables
5: Combinations and permutations
6: Sample averages
7: Expectations and population averages
8: Continuous random variables
9: Conditional expectations and the law of iterated expectations
10: Shapes of distributions: variations, skew and kurtosis
11: Correlations and covariances
12: Simple distributions: Uniform and binomial distributions
13: The Normal Distribution
14: Introduction to estimators
15: What makes a good estimator? Efficiency and consistency of estimators
16: An introduction to statistical testing
17: Errors in statistical testing
18: The t-distribution, confidence intervals, and more on testing
19: Testing relating to proportions of the population
20: Further testing: equality of means
21: Distributions derived from the Normal Distribution
22: Analysis of Variance, or ANOVA
23: Introduction to Ordinary Least Squares
24: Is the OLS estimator unbiased and consistent?
25: Causes of bias and inconsistency in OLS
26: Constructing the variance of the OLS estimator
27: Testing hypotheses with OLS
28: Multivariate regressions
29: Dummy variables and F-tests
30: Logs, polynomials and other non-linear relationships
31: Causality and estimating causal relationships
32: A brief introduction to big data
