3.1 Measures of Central Tendency: Mode, 95-99 1, 2, 5-7, 12-28 Median, and Mean 3. Averages 3.2 Measures of Variation 111-114 1-21 and Variation 3.3 Percentiles and 127-128 1-11 Box-and-Whisker Plots* 4.1 Scatter Diagrams and Linear 154-157 1-18 4. Correlation Correlation and Regression 4.2* Linear Regression and the Coefficient 171-175 1-18 of Determination 5.1 What is Probability? 198-200 1-4, 7-20 5. Elementary 5.2 Some Probability Rules– Compound 215-220 1-8, 11-31 Probability Events Theory 5.3* Trees and Counting Techniques 229-231 1-27 6. The 6.1 Introduction to Random Variables and 248-252 1-3, 6-18 Binomial Probability Distributions Probability 6.2 Binomial Probabilities 264-269 1-27 Distribution 6.3 Additional Properties of the Binomial 274-278 1-8, 11-22 and Related Distribution Topics 7.1 Graphs of Normal Probability 297-299 1-11 Distribution 7.2 Standard Units and Areas Under the 309-311 1-50 7. Normal Standard Normal Distribution Curves and 7.3 Areas Under any Normal Curve 321-324 1-30 Sampling 7.4 Sampling Distributions 331 1-9 Distributions 7.5 The Central Limit Theorem 339-343 1-20 7.6 Normal Approximation to the 350-353 1-21 Binomial Distribution 8.1 Estimating when is Known 377-382 1-25 μ σ 8.2 Estimating when is Unknown 390-395 1-22 μ σ 8. Estimation 8.3* Estimating in the Binomial 403-407 1-27 p Distribution 9.1 Introduction to Statistical Tests 432-436 1-24 9. Hypothesis 9.2 Testing the Mean 447-451 1-24 μ Testing 9.3* Testing a Proportion 458-463 1-24 p Homework, quizzes, oral presentations, projects, etc. Suggested Grading Guidelines: (1/3 of In-class tests (1/3 of grade); Final Exam (1/3 of grade). SLF 4/09 AW 3/10 RG 5/12 KD 3/15 KD 8/16 KD 7/17
3. Averages and Variation 3.1 Measures of Central Tendency: Mode, Median, and Mean 95-99 1, 2, 5-7, 12-28 3.2 Measures of Variation 111-114 1-21 3.3 Percentiles and Box-and-Whisker Plots* 127-128 1-11 4. Correlation and Regression 4.1 Scatter Diagrams and Linear Correlation 154-157 1-18 4.2* Linear Regression and the Coefficient of Determination 171-175 1-18 5. Elementary Probability Theory 5.1 What is Probability? 198-200 1-4, 7-20 5.2 Some Probability Rules– Compound Events 215-220 1-8, 11-31 5.3* Trees and Counting Techniques 229-231 1-27 6. The Binomial Probability Distribution and Related Topics 6.1 Introduction to Random Variables and Probability Distributions 248-252 1-3, 6-18 6.2 Binomial Probabilities 264-269 1-27 6.3 Additional Properties of the Binomial Distribution 274-278 1-8, 11-22 7. Normal Curves and Sampling Distributions 7.1 Graphs of Normal Probability Distribution 297-299 1-11 7.2 Standard Units and Areas Under the Standard Normal Distribution 309-311 1-50 7.3 Areas Under any Normal Curve 321-324 1-30 7.4 Sampling Distributions 331 1-9 7.5 The Central Limit Theorem 339-343 1-20 7.6 Normal Approximation to the Binomial Distribution 350-353 1-21 8. Estimation 8.1 Estimating μ when σ is Known 377-382 1-25 8.2 Estimating μ when σ is Unknown 390-395 1-22 8.3* Estimating p in the Binomial Distribution 403-407 1-27 9. Hypothesis Testing 9.1 Introduction to Statistical Tests 432-436 1-24 9.2 Testing the Mean μ 447-451 1-24 9.3* Testing a Proportion p 458-463 1-24 Suggested Grading Guidelines: Homework, quizzes, oral presentations, projects, etc. (1/3 of In-class tests (1/3 of grade); Final Exam (1/3 of grade). SLF 4/09 AW 3/10 RG 5/12 KD 3/15 KD 8/16 KD 7/17