1. All students solve probability problems with finite sample spaces using the addition, multiplication, and complementation rules for probability distributions, and understand the simplifications which arise with independent events.

2. All students know the definition of conditional probability, and use it to solve for probabilities in finite sample spaces.

3. All students demonstrate understanding of the notion of discrete random variables by using them to solve for the probabilities of outcomes, such as the probability of the occurrence of five or fewer heads in fourteen coin tosses.

4. All students 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. All students know the definition of the mean of a discrete random variable, and can determine it for a particular discrete random variable.

6. All students know the definition of the variance of a discrete random variable, and can determine it for a particular discrete random variable.

7. All students demonstrate understanding of the standard distributions (normal, binomial, and exponential), and can use them to solve for events in problems where the distribution belongs to these families.

8. All students determine the mean and standard deviation of a normally distributed random variable.

9. All students know the Central Limit Theorem, and can use it to obtain approximations for probabilities in finite sample spaces problems whose probabilities are distributed binomially.

10. All students know the definitions of the mean, median, and mode of distribution of real valued data, and can compute them in particular situations.

11. All students compute the variance and standard deviation of a distribution of data.

12. All students find the line of best fit to a given distribution of data using least squares regression.

13. All students know the definition of the correlation coefficient of two variables, and are familiar with its properties.

14. All students organize and describe distributions of data using a number of different methods, including frequency tables, histograms, standard line and bar graphs, stem and leaf displays, scatter plots, and box and whisker plots.

15. All 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.

16. All students know basic facts concerning the relation between the mean and standard deviation of a sampling distribution and the mean and standard deviation of the population distribution.

17. All 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.

18. All students determine the P-value for a statistic for a simple random sample from a normal distribution.

19. All students are familiar with the chi-square distribution and test, and understand its uses