000 02371nam a22001817a 4500
020 _a9781510421776
040 _cPK-LaCSN
082 _aT 510
_bGOL
100 _aGoldie, Sophie
245 _aMathematics; Probability & Statistics 2
260 _aLondon,
_bHodder Education Group,
_c2018
300 _3Text
_a146
505 _a1 Sampling; 1.1 Terms and notation; 1.2 Sampling; 1.3 Sampling techniques; 2 Continuous random variables; 2.1 Probability density function; 2.2 Mean and variance; 2.3 The median; 2.4 The mode; 2.5 The uniform (rectangular) distribution; 3 Hypothesis testing using the binomial distribution; 3.1 Defining terms; 3.2 Hypothesis testing checklist; 3.3 Choosing the significance level; 3.4 Critical values and critical (rejection) regions 3.5 One-tailed and two-tailed tests3.6 Type I and Type II errors; 4 Hypothesis testing and confidence intervals using the normal distribution; 4.1 Interpreting sample data using the normal distribution; 4.2 The Central Limit Theorem; 4.3 Confidence intervals; 4.4 How large a sample do you need?; 4.5 Confidence intervals for a proportion; 5 The Poisson distribution; 5.1 The Poisson distribution; 5.2 Modelling with a Poisson distribution; 5.3 The sum of two or more Poisson distributions; 5.4 The Poisson approximation to the binomial distribution 5.5 Using the normal distribution as an approximation for the Poisson distribution5.6 Hypothesis test for the mean of a Poisson distribution; 6 Linear combinations of random variables; 6.1 The expectation (mean) of a function of X, E(g[X); 6.2 Expectation: algebraic results; 6.3 The sums and differences of independent random variables; 6.4 More than two independent random variables
520 _aThe Cambridge International AS & A Level Mathematics: Probability & Statistics 2 Coursebook (ISBN: 9781510421776) is tailored to the Cambridge International A Level Mathematics (9709) syllabus, focusing on advanced statistical concepts. It covers topics such as hypothesis testing, Poisson distribution, linear combinations of random variables, continuous random variables, and sampling. Designed for students aiming to enhance their statistical reasoning and prepare for examinations, this resource also emphasizes real-world applications of mathematics.
650 _aPoisson distribution, linear combinations
942 _2ddc
_cTB
999 _c871207
_d871184