

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 endofchapter 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, "Reexpressing
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.
