
MEI Statistics 4 Third Edition
Hodder Education (Publisher)
3rd Edition
Published on 30. June 2005
Book
Paperback/Softback
280 pages
978-0-340-90526-5 (ISBN)
Description
This series, well-known for accessibility and for a student-friendly approach, has a wealth of features: Worked Examples, Activities, Investigations, Graded Exercises, Key Points summaries and Discussion Points. To ensure exam success there are plenty of up-to-date exam questions, plus warning signs to indicate common pitfalls. MEI offer full support to schools through their network with newsletters, training days and an annual conference.
Statistics 4 builds on the work in the three earlier books. This book completes the statistics in the MEI Further Mathematics and covers a number of topics in greater depth: estimation; generating functions; inference; design and analysis of experiments. Taken together with the three earlier books, this book provides a thorough treatment of statistics at this level.
Statistics 4 builds on the work in the three earlier books. This book completes the statistics in the MEI Further Mathematics and covers a number of topics in greater depth: estimation; generating functions; inference; design and analysis of experiments. Taken together with the three earlier books, this book provides a thorough treatment of statistics at this level.
More details
Series
Edition
3rd Revised edition
Language
English
Place of publication
United Kingdom
Publishing group
Hachette Learning
Target group
Primary & secondary/elementary & high school
Interest Age: From 16 to 19 years
Edition type
Revised edition
Illustrations
100
Dimensions
Height: 246 mm
Width: 190 mm
Thickness: 12 mm
Weight
594 gr
ISBN-13
978-0-340-90526-5 (9780340905265)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Michael Davies
Statistics: Book 4
Book
03/2003
2nd Edition
Hodder Murray
€34.87
Article exhausted; check for reprint
Content
Option 1 1 Modelling 2 Estimation 3 Maximum likelihood estimators Option 2 1 Probability generating functions 2 Moment generating functions Option 3 1 Hypothesis tests for the difference of means 2 Large sample tests and confidence intervals 3 The Wilcoxon rank sum test 4 Errors in hypothesis testing Option 4 1 Analysis of variance 2 Design of experiments