Probability 1. Write a sample space for the given experiment. 2. Compute probabilities using different counting techniques. 3. Determine whether two events are mutually exclusive or not. 4. Determine whether two events are dependent or independent. 5. Find probabilities of unions, intersections and complements. 6. Know all formulas (such as addition rule and conditional probability) 7. Solve problems using Bayes' Theorem 8. Know the relationship between P(A|B) and P(B|A). 9. Be able to make and use Venn diagram and probability tree. Binomial and Normal Probabilities 1. Determine the values that a random variable can assume 2. Classify the random variable as discrete or continuous. 3. Find probability distribution of a random variable. 4. Construct a probability histogram 5. Compute mean (expected value), median mode, variance, and standard deviation and interpret their meaning. 6. Compute the odds against or in favor of event occurring and if odds are given, compute the probability of the event. 7. Use Chebychev's inequality to find the bound for the probability. 8. Be able to compute mean, standard deviation and variance of binomial random variable 9. Solve problems involving binomial distribution. 10. Know when and how to standardize a normal random variable 11. Know all characteristics of normal distribution. 12. Be able to sketch the area under the normal curve. 13. Be able to use the table to compute the probabilities of normal random variable. 14. Be able to write a probability statement for the given problem. 15. Solve application problems that involve normal variables.