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Introduction to Probability
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 a...(more details) |
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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) |
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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) |
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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) |
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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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