| Book Code : | 380 |
|---|---|
| Subject Code : | 9709 |
| Author : | Riaz Taunsvi |
| Updated Till : | May/June 2024 |
| Publishers : | Read and Write Publications |
Description
The book 380 Mathematics A Level Paper 6 (S1) Topical Worked Solutions by Riaz Taunsvi is indeed a valuable resource for students preparing for the A Level Mathematics Paper 6 (S1) exam. It provides comprehensive coverage of the topics included in the exam and offers worked solutions to a wide range of practice questions. Let’s explore its features further:
1. Comprehensive Coverage: The book covers all the topics that are part of the A Level Mathematics Paper 6 (S1) syllabus. This ensures that students have a thorough understanding of the material and are prepared for the exam.
2. Worked Solutions: The inclusion of worked solutions to practice questions is a significant advantage. It allows students to see the step-by-step process of solving problems, aiding their understanding of concepts and problem-solving techniques. This feature is particularly helpful in mathematics, where practice and exposure to various problem types are crucial.
3. Clear and Concise Writing Style: The book’s clear and concise writing style contributes to a smoother learning experience for students. Complex mathematical concepts are explained in a manner that is easy to understand, promoting comprehension and knowledge retention.
4. Packed with Information: The book is designed to provide students with the information they need to excel in the A Level Mathematics Paper 6 (S1) exam. It is comprehensive and contains valuable insights and explanations to help students deepen their understanding of the subject matter.
Mathematics A Level Paper 6 (S1) Topical Worked Solutions
- Topical worked solutions
- No step missing in solutions
- Question order old to new
- According to New Syllabus
- (2024-onwards)
- Changes to Syllabus mentioned in Unit 7: Geometric Distribution
TABLE OF CONTENT
UNIT 1: REPRESENTATION OF DATA
UNIT 2: PERMUTATION AND COMBINATION
UNIT 3: PROBABILITY
UNIT 4: DISCRETE RANDOM VARIABLES
UNIT 5: BINOMIAL DISTRIBUTION
UNIT 6: THE NORMAL DISTRIBUTION
UNIT 7: GEOMETRIC DISTRIBUTION
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