Probability
£4.00
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Probability
£4.00
Topics in this product include Bayes' theorem, discrete and continuous random variables, expectation and variance, the central limit theorem, and survival/hazard functions with the Weibull distribution.
This is a 13-page PDF scan of handwritten notes, featuring clickable PDF bookmarks so you can jump straight to any page in a PDF viewer such as Adobe Acrobat. Complete page-by-page contents can be found below so you know exactly what's inside before you buy.
MathsPage-by-page contents
Maths
Page-by-page contents
- 01Set theory, sample space, event, de morgan’s laws, inclusion, exclusion, inequality
- 02Equal outcomes, conditional probability, independent events, co-independent events, law of probability
- 03Bayes’ theorem, screening, false positive, true negatives
- 04Discrete random variables, binomial model, poisson distribution
- 05Continuous random variables, exponential distribution, uniform distribution, normal distribution, transformation
- 06Normal distribution, normal random distribution, Z score, Weibull distribution
- 07Expectation, expected value of binomial rv, poisson, continuous rv, independent rv product rule, random variable
- 08Variance, simple random walk, variance of binomial, normal distribution, gamma function, expectation, Weibull
- 09Law of large numbers, Chebychev’s inequality, Markov’s inequality, central limit theorem
- 10Binomial approximation using poisson and normal, Yates continuity correction
- 11Fourier transform proof of central limit theorem
- 12Survival analysis, survival function, radioactive decay, cumulative hazard function
- 13Exponential distribution, Weibull distribution, mean time to failure, components in series and parallel