STA 220F: Statistics
University of Toronto at Mississauga, Summer 2004
Lecture: Monday and Wednesday 1:10-3:00 p.m., Room 292, North Building (Room 205 North Building on May 26th only)
Tutorials:
This page is under construction, and will be updated frequently throughout the course.
Quiz 5 Solutions and problems are posted.
Final Exam Schedule is official. Our exam is Monday at 2.
Final Formula Sheet is available.
Look at the Hints on the Final Exam
Office Hours for the Final Exam
Read Chapter 2, skipping Sections 2.6 and 2.8. In section 2.7, any references to "Cheshev's Rule" and the "Empirical Rule" can be ignored; they are based on Section 2.6, for which you are not responsible. You are not officially responsible for Section 2.10 (how to lie with statistics), but please read it for entertanment and general education. Do problems 2.1, 2.2, 2.3, 2.6, 2.12, 2.16, 2.18, 2.19, 2.20, 2.22, 2.27, 2.33, 2.34, 2.35, 2.37, 2.38, 2.39, 2.40, 2.41, 2.42, 2.43, 2.54-2.57, 2.59, 2.60, 2.61, 2.65, 2.82, 2.87, 2.108, 2.109
Do all this in preparation for Quiz One on Wednesday, May 26th. The problems are not to be handed in. They are just preparation for the quiz.
Now read the discussion of discrete and continuous random variables on pages 174-176 in Chapter 4. Then read Chapter 5's Introduction and Section 5.1. Skip Section 5.2, but read 5.3 carefully. Do problems 5.16, 5.17, 5.18, 5.19, 5.21, 5.22, 5.23, 5.24, 5.28, 5.29, 5.32, 5.33, 5.34, 5.35, 5.36, 5.37.
Do this in preparation for Quiz Two on Wednesday, June 2nd. The problems are not to be handed in. They are just preparation for the quiz.
Read Section 7.1. Do problems 7.1, 7.2, 7.3, 7.4, 7.5, 7.11, 7.12, 7.15, 7.18.
Do this in preparation for Quiz Three on Wednesday, June 9th. The problems are not to be handed in. They are just preparation for the quiz.
Read Section 7.3 and do problems 7.37, 7.39, 7.40, 7.41, 7.42, 7.45, and 7.46. Skip Section 7.4 on determining sample size.
Read Sections 8.1 and 8.2. Do Problems 8.4, 8.5, 8.7 through 8.14, and 8.18 through 18.21. For any homework question that asks for the null hypothesis, please give 4 answers:
Do this in preparation for Quiz Four on Wednesday, June 16th. As usual, the problems are not to be handed in. They are just preparation for the quiz.
Note that in class, my null hypotheses for one-tailed tests are always of the form µ<µ0 or µ>µ0, but the book sometimes (not always) states it as H0: µ=µ0, especially in problem solutions. We will give full marks for the book's style of stating the null hypothesis.
First, do the Computer Assignment. Then do problem 8.21 (again), 8.23, 8.24, 8.29 (be sure to do b and c), read Section 8.3, do problems 8.31, 8.32, 8.36, 8.43, Read Section 8.4, do 8.45 (our answer is different from the book's), 8.53, 8.58, Read Section 8.5, do 8.61, 8.66, 8.73. Skip Sections 8.6 and 8.7.
Do problems from the book in preparation for Quiz Five on Wednesday, June 23d. The problems are not to be handed in. They are just preparation for the quiz. But remember to bring your printouts from the computer part, with nothing written on them except possibly your name and student number.
Read Section 9.1. Don't worry about confidence intervals for a difference between population means. It will not be on the final. When you read about the t-test for "small samples," remember that it applies to large samples too, provided the distribution in each population is normal, with equal variances. You can ignore the t-test that does not assume equal variances.
Do the hypothesis test part of Example 9.4 with Minitab; assume equal variances. Try to get the exact p-value.
Do 9.11, 9.13 (use Minitab), 9.18 (normal assumption is probably okay). Why is it unrealistic to assume a normal distribution for the data of problem 9.19?
Read section 9.2, but realize that the paired t-test is just a one-sample t-test conducted on differences. The authors do us a dis-service by giving separate formulas. The examples are okay, though.
Do example 9.5 with Mintab. Do problem 9.38.
Read Section 9.3. Do example 9.6 with Minitab. Do problem 9.57, with and without Minitab.
Read Sections 13.1, 13.2 and 13.3. Do problems 3.11, 3.12, Ex. 13.3 with Minitab, 13.22 with Minitab. When you are answering the standard questions while applying the chisquare test of independence, don't try to state null, alternative and conclusions in symbols; just use words.
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