A grade of will be given only at the discretion, according to University Policy as “I” (Incomplete) instructor’s described at . Grading Disputes Any grading disputes must be addressed within one week after an exam, quiz, homework, Excel, or any other graded item has been returned. Changes to the Course Syllabus The information contained in the course syllabus, other than the grade and absence policies, may be subject to change with reasonable advance notice, as deemed appropriate by the instructor. Tentative Weekly Schedule Week Topic(s)/Chapters in Topics Text 1 8/26 Chapter 1 Introduction, Picturing Distributions with Graphs – 2 9/2 Chapters 2 and 3 Describing Distributions with Numbers; Normal – Distributions 3 9/9 Chapters 3 and 4 Normal Distribution; Scatterplots, Correlation – 4 9/16 Chapters 5, 8 and 9 Linear Regression; Design of Sample and Experiment – 5 9/23 Chapter 12 and 13 Probability – 6 9/30 Chapter 13 and 14 Probability; Binomial Distributions – 7 10/7 Exam I – 8 10/14 Chapter 15 Sampling Distributions – 9 10/21 Chapter 16 Confidence Intervals – 10 10/28 Chapter 17 and 18 Tests of Significance; Inference in Practice – 11 11/4 Chapter 20 Inference on the Population Mean – 12 11/11* Chapter 21 (video) Comparing two Means – 13 11/18 Chapter 22 Inference on a Population Proportion – 14 11/25* Chapter 23 Comparing two Proportions – 15 12/2 Exam II – 16 12/7 Chapter 25 (video) Chi-Squared Test – *no class in these dates
A grade of “I” (Incomplete) will be given only at the instructor’s discretion, according to University Policy as described at . Grading Disputes Any grading disputes must be addressed within one week after an exam, quiz, homework, Excel, or any other graded item has been returned. Changes to the Course Syllabus The information contained in the course syllabus, other than the grade and absence policies, may be subject to change with reasonable advance notice, as deemed appropriate by the instructor. Tentative Weekly Schedule Week Topic(s)/Chapters in Text Topics 1 – 8/26 Chapter 1 Introduction, Picturing Distributions with Graphs 2 – 9/2 Chapters 2 and 3 Describing Distributions with Numbers; Normal Distributions 3 – 9/9 Chapters 3 and 4 Normal Distribution; Scatterplots, Correlation 4 – 9/16 Chapters 5, 8 and 9 Linear Regression; Design of Sample and Experiment 5 – 9/23 Chapter 12 and 13 Probability 6 – 9/30 Chapter 13 and 14 Probability; Binomial Distributions 7 – 10/7 Exam I 8 – 10/14 Chapter 15 Sampling Distributions 9 – 10/21 Chapter 16 Confidence Intervals 10 – 10/28 Chapter 17 and 18 Tests of Significance; Inference in Practice 11 – 11/4 Chapter 20 Inference on the Population Mean 12 – 11/11* Chapter 21 (video) Comparing two Means 13 – 11/18 Chapter 22 Inference on a Population Proportion 14 – 11/25* Chapter 23 Comparing two Proportions 15 – 12/2 Exam II 16 – 12/7 Chapter 25 (video) Chi-Squared Test *no class in these dates