Prix bas
CHF82.95
Habituellement expédié sous 2 à 4 semaines.
Auteur
Michael Barrow is a Senior Lecturer in Economics at the University of Sussex. He has acted as a consultant for major, industrial, commercial and government bodies
Texte du rabat
Statistics for Economics, Accounting and Business Studies
Seventh Edition
Michael Barrow
This is the best available text for a first-year statistics course in economics Emiliya Lazarova, University of East Anglia
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. Statistics for Economics, Accounting and Business Studies presents a user-friendly and concise introduction to a variety of statistical tools and techniques which can be used to solve real-life problems.
New features:
· New section on how to write statistical reports
· Examples of good and bad graphs, and how to improve them
· Illustration of graphing regression coefficients as a means of presentation
· Probablity chapter expanded to improve exposition
· More discussion and critique of hypothesis testing.
· New Companion Website for students including quizzes to test your knowledge and Excel data files
Michael Barrow is a Senior Lecturer in Economics at the University of Sussex. He has acted as a consultant for major, industrial, commercial and government bodies
Résumé
Guide your students through the fundamentals of Statistics and help them build up their skills for excellence. Statistics for Economics, Accounting, and Business Studies is an accessible introduction to the subject, featuring a plethora of features and recent examples that will offer your students the resources they need to excel in their course.
Contenu
Descriptive statistics
Probability
Probability distributions
Estimation and confidence intervals
Hypothesis testing
The c2 and F distributions
Correlation and regression
Multiple regression
Data collection and sampling methods
Index numbers
Seasonal adjustment of time series data