Course schedule

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.

Lecture	Text section	Exercises	Quiz
Week 1, lecture 1	Course procedures, chapter 1 "Stats Starts Here"
Week 1, lecture 2	chapter 2, "Data"	3, 7, 15, 21
Week 2, lecture 1	chapter 3, "Displaying and describing categorical data"	5, 7, 9, 19, 21, 25, 29	Tutorial, but no quiz
Week 2, lecture 2	chapter 4, "Displaying and summarizing quantitative data"	11, 13, 15, 17, 19, 21, 25, 29, 31
Week 3, lecture 1	chapter 5, "Understanding and comparing distributions"	3, 5, 7, 9, 13, 19, 21, 25, 27	1: ch 2, 3
Week 3, lecture 2	chapter 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 1	chapter 7, "Scatterplots, association and correlation"	1, 3, 5, 7, 11, 15, 27, 29	2: ch 4, 5
Week 4, lecture 2	chapter 8, "Linear regression"	1, 3, 7, 9, 13, 15, 19, 23, 27, 29, 35, 41
Week 5, lecture 1	chapter 9, "Regression wisdom"	1, 3, 7, 9, 11, 13, 19, 25, 27	3: ch 6, 7
Week 5, lecture 2	chapter 10, "Re-expressing data: get it straight!"	1, 3, 5, 7, 9
Week 6, lecture 1	chapter 11, "Understanding randomness"	TBA	4: ch 8, 9
Week 6, lecture 2	chapter 12, "Sample surveys"	1, 5, 7, 9, 11, 13, 15, 17, 21, 27, 29
Week 7, lecture 1	chapter 13, "Experiments and observational studies"	1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 23, 27, 29, 35	5: ch 10, 11
Week 7, lecture 2	chapter 14, "From randomness to probability"	1, 11, 13, 15, 19, 21, 25, 27
Week 8, lecture 1	chapter 15, "Probability rules!"	1, 3, 7, 11, 15, 17, 19, 21, 23, 27, 29, 31, 33, 35	6: ch 12, 13
Week 8, lecture 2	chapter 16, "Random variables"	1, 5, 7, 11, 15, 17, 23, 27, 31, 33, 35, 37, 39, 41
Week 9, lecture 1	chapter 17, "Probability models"	1, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35	7: ch 14, 15
Week 9, lecture 2	chapter 18, "Sampling distribution models"	5, 7, 11, 13, 15, 17, 21, 37, 39, 43, 47, 49, 51
Week 10, lecture 1	chapter 19, "Confidence intervals for proportions"	1, 3, 5, 7, 11, 15, 17, 19, 23, 27, 29, 31	8: ch 16, 17
Week 10, lecture 2	chapter 20, "Testing hypotheses about proportions"	1, 3, 5, 9, 13, 17, 19, 21, 23, 25
Week 11, lecture 1	chapter 21, "More about tests"	1, 5, 7, 9, 13, 15, 19, 25, 27, 31	9: ch 18, 19
Week 11, lecture 2	chapter 23, "Inferences about means"	1, 3, 5, 9, 11, 13, 17, 25, 29, 31
Week 12, lecture 1	chapter 24, "Comparing means"	1, 5, 7, 9, 11, 13, 15, 17, 21, 23, 25, 27, 35	10: ch 20, 21
Week 12, lecture 2	chapter 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.