Probability & Statistics 2Coming Soon80 PDF Practice Tests50 Marks • 75 Minutes per TestPaper 6 Handwritten Answers Partial Marking Instant AI Feedback 6.1 The Poisson distribution 6.1.1 Poisson probabilities, mean and variance 2 PDF Tests6.1.2 Poisson modelling of random events 2 PDF Tests6.1.3 Poisson approximation to the binomial distribution 2 PDF Tests6.1.4 Normal approximation to the Poisson distribution 2 PDF Tests 6.2 Linear combinations of random variables 6.2.1 Expectation and variance under linear transformations 2 PDF Tests6.2.2 Linear combinations of independent random variables 2 PDF Tests6.2.3 Linear combinations of normal random variables 2 PDF Tests6.2.4 Sums of independent Poisson random variables 1 PDF Test 6.3 Continuous random variables 6.3.1 Probability density functions 2 PDF Tests6.3.2 Probabilities from density functions 2 PDF Tests6.3.3 Mean and variance of continuous random variables 2 PDF Tests6.3.4 Median and percentiles from density functions 1 PDF Test 6.4 Sampling and estimation 6.4.1 Samples, populations and random sampling 2 PDF Tests6.4.2 Sampling distributions of the sample mean 2 PDF Tests6.4.3 Central Limit Theorem 2 PDF Tests6.4.4 Unbiased estimates of population mean and variance 2 PDF Tests6.4.5 Confidence intervals for means and proportions 2 PDF Tests 6.5 Hypothesis tests 6.5.1 Hypotheses, significance levels and critical regions 2 PDF Tests6.5.2 Binomial and Poisson hypothesis tests 2 PDF Tests6.5.3 Normal-approximation hypothesis tests 1 PDF Test6.5.4 Hypothesis tests for a population mean 2 PDF Tests6.5.5 Type I and Type II errors 1 PDF Test Topic Mixed Practice 6.1 The Poisson distribution 4 PDF Tests6.2 Linear combinations of random variables 4 PDF Tests6.3 Continuous random variables 4 PDF Tests6.4 Sampling and estimation 4 PDF Tests6.5 Hypothesis tests 4 PDF Tests Full-Syllabus Mixed Practice Probability & Statistics 2 Full-Syllabus Mixed Practice 20 PDF Tests Share an Idea or IssueLoading…