Stats final review chapter 5
Probability distribution
it shows the possible outcomes of an experiment and the probability of each of these outcomes.
Random variable
the numerical value associated with the outcome of an experiment. the outcomes can be qualitative or quantitative.
Discrete random variable
is a random variable that can assume only certain, clearly separated values. it is usually the result of counting something. It can, in some cases, assume fractional or decimal values.
Continuous random variable
can assume an infinite number of values within a given range. It is usually the result of some type of physical measurement.
Variance
it describes the amount of spread in a distribution.
Standard deviation
is found by taking the positive square root of the variance.
Hypergeometric probability distribution
is used to determine the probability of a specified number of successes or failures. It is especially appropriate when the size of the population is small.
Poisson probability distribution
it describes the number of times some event occurs during a specified interval. The interval may be time, distance, area, or volume.