Statistics 1 for AQA

Statistics 1 for AQA

by School Mathematics Project
     
 

ISBN-10: 052160527X

ISBN-13: 9780521605274

Pub. Date: 08/19/2004

Publisher: Cambridge University Press

Based on extensive feedback from teachers, these popular A Level titles have been written by the experienced team that produced SMP Interact for GCSE. These are clear, user-friendly texts that both teacher and student will enjoy using. Each chapter's objectives are clearly set out and new concepts are carefully developed in a way that involves the student. Worked

Overview

Based on extensive feedback from teachers, these popular A Level titles have been written by the experienced team that produced SMP Interact for GCSE. These are clear, user-friendly texts that both teacher and student will enjoy using. Each chapter's objectives are clearly set out and new concepts are carefully developed in a way that involves the student. Worked examples are designed to clarify ideas and techniques, and there is plenty of well-graded practice and revision, including past exam questions that show the standard required. Key points are highlighted as they arise and are gathered in a summary at the end of the chapter, where there is also a self-assessment section. Each book contains a detailed contents analysis and the chapters are structured so that you can easily tell what part of the specification you are covering. Opportunities for classroom discussion are marked, and starred questions provide extra challenge where needed.

Product Details

ISBN-13:
9780521605274
Publisher:
Cambridge University Press
Publication date:
08/19/2004
Series:
SMP AS/A2 Mathematics for AQA Series
Pages:
188
Product dimensions:
7.44(w) x 9.69(h) x 0.39(d)
Age Range:
16 - 18 Years

Table of Contents

1. Collecting and summarising data;
2. Variance and deviation;
3. Probability;
4. Probability distributions;
5. The binomial distribution;
6. Continuous random variables;
7. The Normal distribution;
8. Estimating population parameters;
9. Confidence limits;
10. Correlation and regression

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