An Introduction to Statistics

STAB22

     
 

We intend to get to chapter 25 in the text. There are 24 lectures, chapter 1 is very short, and we will probably skip chapter 22, so that means one chapter per lecture. It will only be possible to cover the highlights of each chapter in lectures, so you are responsible for reading each chapter from the text so that you understand what it contains. To that end, we have chosen a text that we think is interesting to read. If you don't read it, you will not get nearly as much from the course, and you may not like the grade you get at the end.

That means the course schedule looks as shown below. There are quizzes in each tutorial starting with the second one (in week 3), covering the chapters shown. To prepare for the tutorial (and the quiz), it is in your interest to do the end-of-chapter exercises after each lecture, especially the ones shown below. Full solutions to these are in the Student Solutions Manual, which comes packaged with the textbook.

LectureText sectionExercisesQuiz
Week 1, lecture 1Course procedures, chapter 1 "Stats Starts Here"  
Week 1, lecture 2chapter 2, "Data"3, 7, 15, 21 
Week 2, lecture 1chapter 3, "Displaying and describing categorical data"5, 7, 9, 19, 21, 25, 29Tutorial, but no quiz
Week 2, lecture 2chapter 4, "Displaying and summarizing quantitative data"11, 13, 15, 17, 19, 21, 25, 29, 31 
Week 3, lecture 1chapter 5, "Understanding and comparing distributions" 3, 5, 7, 9, 13, 19, 21, 25, 271: ch 2, 3
Week 3, lecture 2chapter 6, "The standard deviation as a ruler and the normal model"3, 5, 9, 11, 17, 19, 21, 25, 27, 29, 31, 35, 41  
Week 4, lecture 1chapter 7, "Scatterplots, association and correlation"1, 3, 5, 7, 11, 15, 27, 292: ch 4, 5
Week 4, lecture 2chapter 8, "Linear regression"1, 3, 7, 9, 13, 15, 19, 23, 27, 29, 35, 41  
Week 5, lecture 1chapter 9, "Regression wisdom"1, 3, 7, 9, 11, 13, 19, 25, 273: ch 6, 7
Week 5, lecture 2chapter 10, "Re-expressing data: get it straight!"1, 3, 5, 7, 9  
Week 6, lecture 1chapter 11, "Understanding randomness"TBA4: ch 8, 9
Week 6, lecture 2chapter 12, "Sample surveys"1, 5, 7, 9, 11, 13, 15, 17, 21, 27, 29  
Week 7, lecture 1chapter 13, "Experiments and observational studies"1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 23, 27, 29, 355: ch 10, 11
Week 7, lecture 2chapter 14, "From randomness to probability" 1, 11, 13, 15, 19, 21, 25, 27 
Week 8, lecture 1chapter 15, "Probability rules!"1, 3, 7, 11, 15, 17, 19, 21, 23, 27, 29, 31, 33, 356: ch 12, 13
Week 8, lecture 2chapter 16, "Random variables" 1, 5, 7, 11, 15, 17, 23, 27, 31, 33, 35, 37, 39, 41  
Week 9, lecture 1chapter 17, "Probability models"1, 17, 19, 21, 23, 25, 27, 29, 31, 33, 357: ch 14, 15
Week 9, lecture 2chapter 18, "Sampling distribution models"5, 7, 11, 13, 15, 17, 21, 37, 39, 43, 47, 49, 51 
Week 10, lecture 1chapter 19, "Confidence intervals for proportions"1, 3, 5, 7, 11, 15, 17, 19, 23, 27, 29, 31 8: ch 16, 17
Week 10, lecture 2chapter 20, "Testing hypotheses about proportions"1, 3, 5, 9, 13, 17, 19, 21, 23, 25 
Week 11, lecture 1chapter 21, "More about tests"1, 5, 7, 9, 13, 15, 19, 25, 27, 319: ch 18, 19
Week 11, lecture 2chapter 23, "Inferences about means"1, 3, 5, 9, 11, 13, 17, 25, 29, 31 
Week 12, lecture 1chapter 24, "Comparing means"1, 5, 7, 9, 11, 13, 15, 17, 21, 23, 25, 27, 35 10: ch 20, 21
Week 12, lecture 2chapter 25, "Paired samples and blocks"1, 3, 7, 9, 11, 13, 15, 17, 21, 23, 25 

     Statistics, like any scientific subject, is cumulative: each part of it builds upon what has come before. It is therefore vital that you don't get behind. This is why we have quizzes every week: to make sure you stay caught up. It is up to you to make sure that you understand each chapter before moving on to the next.

     
     
     
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