In the previous lessons and labs, you learned about some fundamentals of probability theory, along with basic combinatorics such as permutations and combinations. You'll now extend your knowledge of ...

When we talk about probability, we're really talking about how likely something is to happen. It's like asking, "What are the chances?" But sometimes we need to look at how different events relate to ...

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

Explain why probability is important to statistics and data science. See the relationship between conditional and independent events in a statistical experiment. Calculate the expectation and variance ...

a priori Probability: the probability that we determine from knowing the process by which the uncertain event happens (by logically examining existing information). Certain Event: event that is sure ...

Probability is the theory that allows us to make an inference from a sample to a population. It provides the mathematical and theoretical basis for quantifying uncertainty. Probability is also used ...

Probability is the theory that allows us to make an inference from a sample to a population. It provides the mathematical and theoretical basis for quantifying uncertainty. Probability is also used ...

Conditional probability occurs when it is given that something has happened. (Hint: look for the word “given” in the question. The probability that a tennis player wins the first set of a match is ...

This article considers the use of sports board games to introduce or illustrate a wide variety of probability concepts to introductory statistics students in an integrated manner. We demonstrate the ...