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AQA A Level Further Mathematics Statistics /
AQA Approved Develop knowledge and the skills needed to apply reasoning to mathematical problems with this textbook that covers the Statistics content of the new AS and A-level specifications, from a team of subject experts and in conjunction with MEI (Mathematics in Education and Industry).- Build...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Hodder Education Group,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Book title; Copyright; Contents; Getting the most from this book; Prior knowledge; Acknowledgements; 1 Statistical problem solving; 1.1 The problem solving cycle; 2 Bivariate data and correlation coefficients; 2.1 Describing variables; 2.2 Interpreting scatter diagrams; 2.3 Pearsonâ#x80;#x99;s product moment correlation coefficient; 2.4 Rank correlation; 3 The binomial distribution; 3.1 The binomial distribution; 3.2 Hypothesis testing using the binomial distribution; 3.3 Critical values and critical regions; 3.4 One-tailed and two-tailed tests; 4 Conditional probability; 4.1 Screening tests.
- Practice questions: set 15 Discrete random variables; 5.1 Notation and conditions for a discrete random variable; 5.2 Expectation and variance; 5.3 Expectation and variance of the uniform distribution and a linear function of a random variable; 5.4 The expectation and variance of functions of discrete random variables; 6 The Poisson distribution; 6.1 When to use the Poisson distribution; 6.2 The sum of two or more Poisson distributions; 7 The chi-squared test on a contingency table; 7.1 The chi-squared test on a contingency table; 8 Continuous random variables 1.
- 8.1 Probability density function8.2 Expectation and variance; 8.3 The Normal distribution; 8.4 The distribution of sample means; Practice questions: set 2; 9 Continuous random variables 2; 9.1 The expectation and variance of a function of X; 9.2 The cumulative distribution function; 10 Confidence intervals using the Normal and t-distributions; 10.1 The sums and differences of Normal variables; 10.2 More than two independent random variables; 10.3 The distribution of the sample mean; 10.4 The theory of confidence intervals; 10.5 Interpreting sample data using the t-distribution.
- 11 Hypothesis tests and their power11.1 Hypotheses for a test for a mean; 11.2 The power of a test; 12 The rectangular and exponential distributions; 12.1 The continuous uniform (rectangular) distribution; 12.2 The exponential distribution; Practice questions: set 3; Answers; Index; A; B; C; D; E; F; G; H; I; L; M; N; O; P; Q; R; S; T; U; V; W; Y.