Unit 3 Review

Sec 5.1: Designing Samples

• Define the terms population and sample.• Define each type of sample: Probability Sample,

Simple Random Sample (SRS), Stratified Random Sample, Systematic Random Sample, and Multistage Sample.

• Use a Table of Random Numbers or a calculator Random Number Generator to select an SRS from a population.

• Define each type of problems in samples: Undercover age, Non-response, Response Bias, Wording Effects.

Section 5.2: Designing Experiments

• Define and give examples of each term: Observation vs. Experiment, Subjects & Treatment, Factors & Levels.

• Design experiments that require randomization and a control group. Express the design as a schematic drawing and in a written paragraph.

Section 5.3: Simulations

• State and carry out the five steps of a simulation.

• Use a calculator to perform a simulation.

• Find the empirical probability of an event based on simulations.

Section 6.0: Classical Probability

• Use tree diagrams and organized lists to find all possible outcomes of a trial.

• Use permutation and combination theory to find the number of possible outcomes of a trial.

• Use counting techniques to find theoretical probability in problems involving coins, dice, cards and marbles.

• Use experiment and simulation to find empirical probabilities involving coins, dice, cards and marbles.

Section 6.1: Random Outcomes

• Describe what is meant by random outcomes of a trial

• Describe what is meant by the probability of a given outcome

Section 6.2: Probability Models

• Define and give examples of each term: Disjoint, Sample Space, Replacement, Equally Likely Outcomes.

• Use the rules of probability to determine whether a probability model is legitimate.

• Given a description of an event, state its complement.

• Given the probability of an event, find the probability of its complement.

Section 6.3: Conditional Probability

• Define and give examples of each term: Union, Intersection, Conditional Probability.

• Given two events A and B, use the appropriate addition or multiplication rule for conditional probability to find P(A or B) and/or P(A and B).

• Given a two-way table of frequencies, find probabilities of specified events.

• Given sufficient information about two events A and B, use a formula to evaluate the conditional probability P(B|A).