3. In probability theory, when two outcomes cannot occur simultaneously, they are ________________. a. Exhaustive c. mutually exhaustive b. conditional probabilities d. mutually exclusive ____ 4. The process of randomly selecting a case, taking some measurement of interest, and then eliminating it from the population is called: a. sampling with replacement c. sampling without replacement b. sampling with error d. sampling without error The Central Limit Theorem says, for the distribution to take the shape of a normal distribution, you should increase ___________. a. Sample Size c. The Mean b. Probability d. Standard Deviation _____ 6. If you selected every possible random sample of size N from some population, then the average (i.e., mean) of the sample means will be __________. a. more than c. zero b. less than d. equal to What is Conditional probability? According to the Central Limit Theorem, what is the relationship between the sample size and Normal Distribution? What is a distribution of sampling means? What can we assume from the Central Limit Theorem (i.e. what does it give us confidence to believe)