Orlando Theory for Modeling Events Under Conditions of Uncertainty Questions

Question Description

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Mathematical theory for modeling events or phenomenon under conditions of uncertaintyControlled study in which the researcher attempts to understand cause-and-effect relationships
Set of outcomes of an experiment (a subset of the sample space) to which a probability is assigned
Numerical expression, usually expressed as a pair of numbers; likelihood
The numerical value derived from the outcome of an experiment
All the possible values and likelihoods that a random variable can take within a given range
Running totals of the probability distribution
Values which can be represented in list form
A variable which can take any value on a given range
The mean of any given random variable
A principle of probability which suggests that the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances
Probabilities that consider outcomes under specified conditions
Probabilities that consider outcomes under general (non-specified) conditions
A fundamental rule relating conditional and unconditional probabilities
Probability of a team winning a game as a function of the current status/events of the game
When the measurement of interest can be adjusted or shaped by putting the measurement through various subclasses
Distribution of two possible outcomes, a 50/50 chance, each outcome has the same probability of occurring
A continuous, symmetrical distribution of random variables in a bell-shaped curve on a graph
The number of standard deviations above or below the mean
Multiple uninterrupted occurrences of an outcome in sport such as hits, games with at least 1 TD pass, etc…

Binomial Distribution

law of large numbers

distribution function

continuous random variable

Laws of Total Probability

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