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- CAHSEE
- STAR(CST) Test
- Example
- Introduction
- Resource
- Linked

# California's Common Core Content Standards

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- CAHSEE
- STAR(CST) Test
- Example
- Introduction
- Resource
- Linked

Advanced Placement Probability and Statistics

- 1.0Students solve probability problems with finite sample spaces by using the rules for addition, multiplication, and complementation for probability distributions and understand the simplifications that arise with independent events.
- 2.0Students know the definition of conditional probability and use it to solve for probabilities in finite sample spaces.
- 3.0Students 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.
- 4.0Students understand the notion of a continuous random variable and can interpret the probability of an outcome as the area of a region under the graph of the probability density function associated with the random variable.
- 5.0Students know the definition of the mean of a discrete random variable and can determine the mean for a particular discrete random variable.
- 6.0Students know the definition of the variance of a discrete random variable and can determine the variance for a particular discrete random variable.
- 7.0Students 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.
- 8.0Students determine the mean and the standard deviation of a normally distributed random variable.
- 9.0Students 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.
- 10.0Students know the definitions of the mean, median, and mode of distribution of data and can compute each of them in particular situations.
- 11.0Students compute the variance and the standard deviation of a distribution of data.
- 12.0Students find the line of best fit to a given distribution of data by using least squares regression.
- 13.0Students know what the correlation coefficient of two variables means and are familiar with the coefficient's properties.
- 14.0Students 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.
- 15.0Students 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.
- 16.0Students 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.
- 17.0Students 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.
- 18.0Students determine the P- value for a statistic for a simple random sample from a normal distribution.
- 19.0Students are familiar with the chi- square distribution and chi- square test and understand their uses.