Mathematics Standards
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Showing 71 - 75 of 75 Standards
Standard Identifier: AP-Prob&Stats.5.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know the definition of the mean of a discrete random variable and can determine the mean for a particular discrete random variable.
Students know the definition of the mean of a discrete random variable and can determine the mean for a particular discrete random variable.
Standard Identifier: AP-Prob&Stats.6.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know the definition of the variance of a discrete random variable and can determine the variance for a particular discrete random variable.
Students know the definition of the variance of a discrete random variable and can determine the variance for a particular discrete random variable.
Standard Identifier: AP-Prob&Stats.7.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students demonstrate an understanding of the standard distributions (normal, binomial, and exponential) and can use the distributions to solve for events in problems in which the distribution belongs to those families.
Students demonstrate an understanding of the standard distributions (normal, binomial, and exponential) and can use the distributions to solve for events in problems in which the distribution belongs to those families.
Standard Identifier: AP-Prob&Stats.8.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students determine the mean and the standard deviation of a normally distributed random variable.
Students determine the mean and the standard deviation of a normally distributed random variable.
Standard Identifier: AP-Prob&Stats.9.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know the central limit theorem and can use it to obtain approximations for probabilities in problems of finite sample spaces in which the probabilities are distributed binomially.
Students know the central limit theorem and can use it to obtain approximations for probabilities in problems of finite sample spaces in which the probabilities are distributed binomially.
Showing 71 - 75 of 75 Standards
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