MAT 121 Midterm: MAT 121- Elementary Statistics and Probability- Midterm #3 Review Guide
6 Nov 2014
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De nitions: random variable= variable that has a single numerical value, determined by chance, for each, probability distribution= description that gives the probability for each value of the random outcome of a procedure variable. = it is often expressed in the format of a graph, table or formula. = example: number of children in a family, number of students in a class. = example: height, weight: discrete random variable= countable number, continuous random variable= all values in an interval of numbers (measurements, binomial probability distribution= probability of a certain number of successes occurring among "n" trials. = requirements: experiment consists of "n" trials, trials are independent, each trial has 2 outcomes (success or failure, p(success) same every trial. Random variables: if a probability value is very small, such as . 0000000000043, we can represent that on a table is 0+. This indicates that the probability value is very small positive number.
