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- Definition of probability and its exact meaning.
- History of probability.
- Treatment of probability distributions.
- Types of probability distributions like discrete, continuous etc.
- Analysis of probability axioms and probability space.
- Concepts like sample space, measure of probability, random variables, elementary event, complementary event etc.
- Different terminologies associated with probability like joint probability, conditional probability, marginal probability etc.
- Law of total probability.
- Law of large numbers.
- Tree diagram and Venn diagram.
- Bayes’ Theorem and Boole’s inequality.
- Classical probability distributions.
- Convergence of random variables.
- Central limit theorem.
- Practical applications and actual usability of probability theory.
- Experiments and scope of equally likely probability.
- Importance of theory of probability and its limitations.

Theory of probability is a topic that one can find in the academic disciplines like statistics and mathematics. Our experts are having PHDs in these academic branches. You can expect **Theory of Probability homework help** from our team in the best possible way.

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Theory of probability is one such topic that you will come across in the subjects like mathematics and statistics. The main aim of this theory is to analyze the outcomes associated with random events. There are multiple kinds of interpretations related to probability and analysis is generally done through the set of axioms.

In a probability space the measure takes the value between 0 and 1. There are lots of different things in theory of probability like sample space, events, random variables, stochastic processes, different types of probability distributions, and much more.

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