MA.912.P: Probability

MA.912.P.1: Understand the counting principle, permutations, and combinations and use them to solve problems.

MA.912.P.1.1: Use counting principles, including the addition and the multiplication principles, to determine size of finite sample spaces and probabilities of events in those spaces.

 Independent and Dependent Events
 Probability Simulations
 Theoretical and Experimental Probability

MA.912.P.1.2: Use formulas for permutations and combinations to count outcomes and determine probabilities of events.

 Binomial Probabilities
 Permutations and Combinations

MA.912.P.2: Develop rules for finding probabilities of combined and complementary events. Understand and use conditional probability and the related Bayes? Theorem.

MA.912.P.2.2: Determine probabilities of independent events.

 Independent and Dependent Events
 Theoretical and Experimental Probability

MA.912.P.2.3: Understand and use the concept of conditional probability, including: understanding how conditioning affects the probability of events; finding conditional probabilities from a two-way frequency table.

 Independent and Dependent Events

MA.912.P.3: Investigate probability distributions and calculate and interpret their means and variances. Use and apply the normal distribution, including using the central limit theorem.

MA.912.P.3.1: Determine probabilities of events from distributions, including:

MA.912.P.3.1.b: binomial

 Binomial Probabilities

MA.912.P.3.1.c: normal

 Polling: City

MA.912.P.3.2: Determine the mean and variance of distributions, including:

MA.912.P.3.2.c: normal

 Polling: City

MA.912.P.3.3: Apply the properties of the normal distribution.

 Polling: City

MA.912.P.3.4: Apply the Central Limit Theorem to determine the probability that a sample mean will be in a certain interval.

 Polling: City

Correlation last revised: 1/20/2017

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