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I’m working on a mathematics question and need guidance to help me study.

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…

Tags:

Binomial Distribution

law of large numbers

distribution function

continuous random variable

Laws of Total Probability

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