5. Know the symbols for population paramete rs and sample statistics (i.e. the mean, standard deviation, and variance of populations and samples. 6. Know the rule for finding an outlier for univariate data. 7. Know the probabilities for the Empirical Rule. 8. Know how to apply the Normal model – draw the curve, write probability, use the tables. Extra Problems: Unit 1 Review- Textbook pages 138-146 Unit 1 Practice Exam- Textbook pages 147-149 Unit II: Chapters 6-9 (11% of the final exam content) 1. Know how to find a regression equation. 2. Know how to explain the correlation coefficient in context of the problem. 3. Review the properties of “r.” 4. Review the information on correlation and causation. 5. Review the regression equation formula on formula chart. Review what the value of “b” represents. 6. Review how to find the coefficient of determination and what it represents. 7. How does a statistician determine whether a value is an outlier in a scatter plot? How do they determine an influential point? 8. Know how to interpret the slope and the coefficient of determination in context of a problem. 9. Review how to find a residual (both by hand and with a calculator) 10. Review what a residual plot tells you about the data. Extra Problems: Unit II Review- Textbook pages 255-264 Unit II Practice Exam- Textbook pages 264-266 Unit III: Chapters 10-12 (21% of the final exam content) 1. Review observational study vs. experiment. 2. Review the various methods of sampling (simple random sampling, stratified sampling, and systematic sampling.) 3. Recognize various types of biases. 4. Review purpose of experiments. Review key concepts of experiments. 5. Review simulations. – look over the simulation packet Extra Problems: Unit III Review- Textbook pages 331-336 Unit III Practice Exam- Textbook pages 336-342 Unit IV: Chapters 13-16 (33% of the final exam content) 1. Review the Law of Large Numbers. 2. Review Laws of Probability 3. Review tree diagrams and tables 4. Compare the difference between a discrete random variable and a continuous random variable. 5. Know how transformations on the random variable affect the mean, variance, and standard deviation. 6. Know how to find the mean, variance, and the standard deviation sum/difference of random variables. 7. Review formulas for expected values, variance, and standard deviation for random variables, binomial, and geometric distributions. 8. Review how to use the calculator here. 9. Know how to use geometric and binomial models. Extra Problems: Unit IV Review- Textbook pages 434-439 Unit IV Practice Exam- Textbook pages 439-444 The final exam will have two parts: 1) Multiple Choice (67% of exam grade) 2) Free Response (33% of exam grade)
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- Summer '16