Checkout

Total items: 0

Subtotal excl delivery & tax: £
Menu
Search

How to Pass Data Interpretation Tests

Unbeatable Practice for Numerical and Quantitative Reasoning and Problem Solving Tests

Expert advice on intermediate level data interpretation psychometric tests with 300 realistic practice questions. The questions are followed by three full-length tests with answers, detailed explanations and interpretation of scores.
EAN: 9780749462321
Edition: 1
Published:
Format: 216x138
216 pages

About the book

Data interpretation tests are fast becoming the most common type of numeracy questions set in psychometric examinations. Almost every battery of psychometric tests will include a data interpretation sub test, or series of questions in this discipline and at some point in their career almost everyone will have to pass one. How to Pass Data Interpretation Tests provides over 300 practice data interpretation questions, with answers and detailed explanations to help you improve your score. With indispensable help and advice on how to prepare for the tests it includes 20 mini-tests and 3 realistic full-length tests, enabling you to familiarise yourself with the approaches needed, develop your exam technique and achieve the results you want.

About the authors

Mike Bryon

Mike Bryon is an expert in psychometrics and training solutions. He is also the author of The Advanced Numeracy Test Workbook, The Numeracy Test Workbook, How to Pass Graduate Psychometric Tests , Graduate Psychometric Test Workbook, How to Pass the Civil Service Qualifying Tests, How to Pass Selection Tests, How to Pass Technical Selection Tests and The Ultimate Psychometric Test Book, How to Pass Secondary School Selection Tests, How to Pass the GMAT, How to Pass Advanced Numeracy Tests, How to Pass Advanced Verbal reasoning Tests, How to Pass the UK's National Firefighter Selection Tests, Psychometric Tests volume 1 CD ROM, Test Your Aptitude volume 1 CD ROM and Test Your IQ volume 1 CD ROM, all published by Kogan Page.

More about Mike Bryon