Unit 3 Review. Sec 5.1: Designing Samples Define the terms population and sample. Define each type of sample: Probability Sample, Simple Random Sample.

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Presentation transcript:

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).