Muutke küpsiste eelistusi

Oxford IB Diploma Programme: Mathematics Higher Level: Statistics Course Companion [Multiple-component retail product]

  • Formaat: Multiple-component retail product, 192 pages, kõrgus x laius x paksus: 254x199x9 mm, kaal: 368 g, Colour, Contains 1 Paperback / softback
  • Sari: Oxford IB Diploma Programme
  • Ilmumisaeg: 06-Nov-2014
  • Kirjastus: Oxford University Press
  • ISBN-10: 0198304854
  • ISBN-13: 9780198304852
Teised raamatud teemal:
  • Multiple-component retail product
  • Hind: 18,49 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 21,75 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Multiple-component retail product, 192 pages, kõrgus x laius x paksus: 254x199x9 mm, kaal: 368 g, Colour, Contains 1 Paperback / softback
  • Sari: Oxford IB Diploma Programme
  • Ilmumisaeg: 06-Nov-2014
  • Kirjastus: Oxford University Press
  • ISBN-10: 0198304854
  • ISBN-13: 9780198304852
Teised raamatud teemal:
Written by experienced IB workshop leaders and curriculum developers, 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 instilling confident mathematical thinking skills. Exam support is integrated, building assessment potential.

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

About the series: The only DP resources developed directly with the IB, the Oxford IB Course Books are the most comprehensive core resources to support learners through their study. Fully incorporating the learner profile, resources are assessed by consulting experts in international-mindedness and TOK to ensure these crucial components are deeply embedded into learning.

Muu info

A truly IB approach to mathematics
Chapter 1 Exploring further probability distributions
2(38)
Introduction Probability as a tool to make informed decisions
4(1)
1.1 Cumulative distribution function
5(7)
Discrete and continuous quantities
5(7)
1.2 Other probability distributions
12(13)
Geometric distribution
12(6)
Expected value and variance of a geometric random variable
18(2)
Negative binomial distribution
20(5)
1.3 Probability generating functions
25(15)
The sum of independent variables
32(4)
Review exercise
36(4)
Chapter 2 Expectation algebra and Central Limit Theorem
40(38)
Introduction Normal distributions and probability models
41(1)
2.1 Expectation algebra
42(22)
Linear transformation of a single variable
42(5)
Linear transformation of two or more variables
47(11)
A linear combination of independent normal random variables
58(6)
2.2 Sampling distribution of the mean
64(4)
2.3 The Central Limit Theorem
68(10)
Review exercise
74(4)
Chapter 3 Exploring statistical analysis methods
78(44)
Introduction Biased information: how can we make sense of data?
79(1)
3.1 Estimators and estimates
80(4)
Unbiased estimators for the mean and variance of a normal random variable
81(1)
A well-defined definition?
82(2)
3.2 Confidence intervals for the mean
84(16)
Case I Confidence interval for μ when σ is known
85(5)
Case II Confidence interval for μ when a is unknown
90(7)
Confidence interval for matched pairs
97(3)
3.3 Hypothesis testing
100(12)
Hypothesis testing for μ when σ is known
101(4)
Hypothesis testing for μ when σ is unknown
105(4)
Significance testing for matched pairs
109(3)
3.4 Type I and Type II errors
112(10)
Normal distribution graph for a one-tail test
115(1)
Two-tail test
116(1)
Review exercise
117(5)
Chapter 4 Statistical modeling
122(34)
Introduction Bivariate distributions
123(1)
4.1 Correlation
124(11)
Correlation and causation
128(2)
Sampling distributions
130(5)
4.2 Covariance
135(3)
Properties of covariance
136(2)
4.3 Hypothesis testing
138(3)
Introduction
138(1)
t-Statistic for dependence of X and Y
139(2)
4.4 Linear regression
141(15)
Review exercise
152(4)
Answers 156(5)
Index 161