# Oxford IB Diploma Programme: Mathematics Higher Level: Statistics Course Companion

A truly IB approach to mathematics

Author Marlene Torres-Skoumal, Author Palmira Seiler, Author Lorraine Heinrichs, and Author Josip Harcet

Suitable for:  IB Diploma Mathematics students - HL

Price:  £19.99

ISBN: 978-0-19-830485-2
Publication date: 06/11/2014
Paperback: 192 pages
Dimensions: 255x195mm

Also available as an ebook

Evaluation copies must be ordered on a school account.

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## Description

Written by experienced IB workshop leaders, this book covers all the course content and essential practice needed for success in the Statistics Option for Higher Level. Enabling a truly IB approach to mathematics, real-world context is thoroughly blended with mathematical applications, supporting deep understanding and confident thinking skills.

### Features

• Directly linked to the Oxford Higher Level Course Book, naturally extending learning
• Drive a truly IB approach to mathematics, helping learners connect mathematical theory with the world around them
• The most comprehensive, accurately matched to the most recent syllabus, written by experienced workshop leaders
• Build essential mathematical skills with extensive practice enabling confident skills-development
• Cement assessment potential, with examiner guidance and exam questions driving confidence in every topic
• Complete worked solutions included online

This page was last updated on 08 December 2019 at 04:30 GMT

1: Exploring further probability distributions
1.1: Cumulative distribution function
1.2: Other probability distributions
1.3: Probability generating functions
2: Expectation algebra and central limit theorem
2.1: Expectation algebra
2.2: Sampling distribution of the mean
2.3: The central limit theorem
3: Exploring statistical analysis methods
3.1: Estimators and estimates

3.2: Unbiased estimators for the mean and variance of a normal random variable
3.3: Confidence intervals for the mean
3.4: Hypothesis testing
3.5: Type I and Type II errors
4: Bivariate distributions
4.1: Correlation
4.2: Covariance
4.3: Hypothesis testing
4.4: Linear regression