Computational probability with R (MAS2906)
Newcastle University (NCL)
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Summary - Computational probability with R (MAS2906)
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Topics covered:

	•	Discrete and continuous random variables

	•	Probability distributions (Binomial, Poisson, Normal, etc.)

	•	Expectation, variance, and moments

	•	Law of Large Numbers and Central Limit Theorem

	•	Monte Carlo simulation

	•	Generating random variables in R

	•	Visualisation and interpretation of results in R
Summary
Summary - Computational probability with R (MAS2906)
Last document update:
ago
Topics covered: 
	•	Discrete and continuous random variables 
	•	Probability distributions (Binomial, Poisson, Normal, etc.) 
	•	Expectation, variance, and moments 
	•	Law of Large Numbers and Central Limit Theorem 
	•	Monte Carlo simulation 
	•	Generating random variables in R 
	•	Visualisation and interpretation of results in R
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