Mathematics Standards
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Showing 81 - 90 of 131 Standards
Standard Identifier: AP-Prob&Stats.12.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students find the line of best fit to a given distribution of data by using least squares regression.
Students find the line of best fit to a given distribution of data by using least squares regression.
Standard Identifier: AP-Prob&Stats.13.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know what the correlation coefficient of two variables means and are familiar with the coefficient’s properties.
Students know what the correlation coefficient of two variables means and are familiar with the coefficient’s properties.
Standard Identifier: AP-Prob&Stats.14.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students organize and describe distributions of data by using a number of different methods, including frequency tables, histograms, standard line graphs and bar graphs, stem-and-leaf displays, scatterplots, and box-and-whisker plots.
Students organize and describe distributions of data by using a number of different methods, including frequency tables, histograms, standard line graphs and bar graphs, stem-and-leaf displays, scatterplots, and box-and-whisker plots.
Standard Identifier: AP-Prob&Stats.15.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students are familiar with the notions of a statistic of a distribution of values, of the sampling distribution of a statistic, and of the variability of a statistic.
Students are familiar with the notions of a statistic of a distribution of values, of the sampling distribution of a statistic, and of the variability of a statistic.
Standard Identifier: AP-Prob&Stats.16.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know basic facts concerning the relation between the mean and the standard deviation of a sampling distribution and the mean and the standard deviation of the population distribution.
Students know basic facts concerning the relation between the mean and the standard deviation of a sampling distribution and the mean and the standard deviation of the population distribution.
Standard Identifier: AP-Prob&Stats.17.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students determine confidence intervals for a simple random sample from a normal distribution of data and determine the sample size required for a desired margin of error.
Students determine confidence intervals for a simple random sample from a normal distribution of data and determine the sample size required for a desired margin of error.
Standard Identifier: AP-Prob&Stats.18.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students determine the P-value for a statistic for a simple random sample from a normal distribution.
Students determine the P-value for a statistic for a simple random sample from a normal distribution.
Standard Identifier: AP-Prob&Stats.19.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students are familiar with the chi-square distribution and chi-square test and understand their uses.
Students are familiar with the chi-square distribution and chi-square test and understand their uses.
Standard Identifier: AP-Prob&Stats.2.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students know the definition of conditional probability and use it to solve for probabilities in finite sample spaces.
Students know the definition of conditional probability and use it to solve for probabilities in finite sample spaces.
Standard Identifier: AP-Prob&Stats.3.0
Grade Range:
9–12
Discipline:
Statistics and Probability (AP)
Standard:
Students demonstrate an understanding of the notion of discrete random variables by using this concept to solve for the probabilities of outcomes, such as the probability of the occurrence of five or fewer heads in 14 coin tosses.
Students demonstrate an understanding of the notion of discrete random variables by using this concept to solve for the probabilities of outcomes, such as the probability of the occurrence of five or fewer heads in 14 coin tosses.
Showing 81 - 90 of 131 Standards
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