In this program, a comparison between classic determinism and the modern principle of uncertainty establishes the framework for the science of probability. The program postulates that probability theory is an indispensable technique for quantifying an uncertain universe, then launches into the math underlying the law of large numbers. (10 minutes)

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Part of the Series : Probability


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		Simple Events In this program, a look at Venn diagrams and the notion of sample space leads to a discussion of the nature of mutually exclusive, non-mutually exclusive, and complementary events. Day-to-day events are used to determine the selection of the appropri...(more details)
		Bernoulli Trials This program examines the binomial theorem and Pascal's triangle. The binomial distribution formula is derived from the classic coin toss and applied to Bernoulli trials and typical situations that involve repeated trials, such as multiple-choice exa...(more details)
		Probability Distributions This program suggests that math is highly relevant to the idea of fairness and ethical behavior. After considering the concepts of random variable and expected value, probability distribution is pitted against lotteries and games of chance. (10 minut...(more details)
		Combinations and Permutations In this program, we cap the exploration of simple events with examples of independent events and conditional events. Permutations and combinations are used to calculate more complex probabilities. (10 minutes)(more details)
		Uniform Probability Model Of the many branches of mathematics, probability is among those most rooted in the real world. In this program, we examine the various attributes of experimental probability, look at the uniform probability model, and relate the concept of odds to pr...(more details)

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