Math 365 - Introduction to Probability and Statistics

Section: 18762
Class Day and Times: MWF 8:00-8:50
Class Location: (MWF) SW 220
Text: Statistics for the Sciences by Buntinas and Funk
WEB Page: http://elizabethhousworth.com/Fall2006/Math365
Instructor: Elizabeth Housworth
Office and Office Hours: 371 Rawles Hall, 12-1 Tuesdays, Wednesdays, Sundays
Important dates: Last day for automatic withdrawals is Wednesday, October 25. The final exam for our section of Math 365 is 8-10 a.m. on Monday, December 11.

Grading Procedure and class policies: Homework is due daily in lecture. Assignments turned in at least half and hour before lecture but outside of class will also be accepted. Pop quizzes may be given in class and are pooled together with homeworks. Your six lowest scores will be dropped and no homework will be accepted late for any reason. Allowing for six dropped scores should cover all extramural activities, illnesses, and other excused absences. The adjacent table gives the relative contribution of your exams, final exam, homework, and quizzes to your class grade.
 
                           
Points
Quizzes and Homeworks  100
Exam I  100
Exam II  100
Exam III  100
Final Exam  200
--------------------------------
Total  600

Cheating: It is impossible to cheat on homework and quizzes. All homework and all quizzes are open text and you can talk to anyone about them at any time. All quizzes can be worked in groups and I encourage you to take advantage of this policy. If you are struggling, ask a neighbor or ask me. If you are not struggling, be willing to explain your work to those around you. You can learn a lot more by not only being able to do the work yourself but being able to explain it to other people.

All exams are closed-book, closed-neighbor, closed-instructor, closed-AI, closed-calculator, closed-notes, etc... Cheating on an exam will not be tolerated. My policy for anyone caught cheating on any exam, including the final exam, is to award the culprit a "0" for that exam. All cheating offenses will be reported to the Dean of Students who may impose additional sanctions.

Resources: You can come to see me during my office hours or make appointments outside of those hours. You may hire a private tutor. The mathematics department keeps a list of these at: http://www.math.indiana.edu/resources/tutors/  

 

   

 

 
Tentative Syllabus
Date Topics Sections Homework
(due in the following lecture)
Monday, August 28 Purpose of statistics and statistical errors 1.1-1.3 1.12, 1.21
Wednesday, August 30 Precision versus confidence and hypothesis testing 1.4-1.6 1.18, 1.20
Friday, September 1 Summaries of data 2.1-2.13 2.42, 2.56
Monday, September 4 Types of probabilities, rules, and independence 3.1-3.4 3.34, 3.38
Wednesday, September 6 Conditional probabilities 3.4 3.41, 3.74
Friday, September 8 Tree Diagrams and Bayes's Formula 3.5-3.6 3.54, 3.56
Monday, September 11 Discrete Random Variables 4.1-4.5 4.20, 4.27
Wednesday, September 13 Variances and Uniform and Bernoulli random variables 4.6-5.1 4.28, 5.5
Friday, September 15 Binomial and hypergeometric random variables 5.2-5.3 5.18, 5.24
Monday, September 18 Review Practice Exam I No Homework
Wednesday, September 20             Exam 1
Friday, September 22 Hypothesis testing and the sign test 6.1-6.3 6.2, 6.10
Monday, September 25 Binomial test and Fisher's exact test 6.4-6.5 6.18, 6.24
Wednesday, September 27 Continuous random variables 7.1-7.3 7.6, 7.16
Friday, September 29 Functions of continuous random variables 7.4-7.5 7.18, 7.41
Monday, October 2 Chebyshev's inequality 7.6 7.27, 7.44
Wednesday, October 4 Normal distribution and its approx. to Binomial 8.1-8.3 8.14, 8.30
Friday, October 6 Central Limit Theorem 8.4-8.5 8.47, and: list 5 kinds of data that you expect to be approximately normally distributed and 5 kinds that you expect not to be normally distributed. You may include 2 kinds of each from the class discussion but 3 should be your own ideas.
Monday, October 9 Joint distributions 10.1-10.2 10.2, 10.4
Wednesday, October 11 Correlations, covariances, linear combinations 10.4 10.8, 10.12
Friday, October 13 Parameters, statistics, law of averages 11.1-11.4 11.6, 11.8
Monday, October 16 Review Practice Exam II No Homework
Wednesday, October 18             Exam 2
Friday, October 20 Laws of averages, Z, and T statistics 11.5-11.8 11.46, 11.50
Monday, October 23 Z tests 12.1-12.2 12.6, 12.8
Wednesday, October 25 T tests 12.3-12.4 12.14, 12.16
Friday, October 27 1-sided T tests and robustness issues supplemental material Homework Exercises
Monday, October 30 Confidence intervals 13.1-13.3, 13.6 13.4, 13.28
Wednesday, November 1 T intervals and margins of error 13.4-13.5 13.14, 13.26
Friday, November 3 Binomial exact intervals 13.7 13.30, 13.37
Monday, November 6 Matched pairs versus independent samples 14.1-14.2 14.4, 14.12
Wednesday, November 8 Variances and degrees of freedom in T tests 14.3-14.4 14.18, 14.30
Friday, November 10 Correlation and regression 15.1-15.4 15.2, 15.10
Monday, November 13 Review Practice Exam III No Homework
Wednesday, November 15             Exam 3
Friday, November 17 Regression 15.5-15.7 15.16, 15.18
Monday, November 20 Testing correlations 15.8-15.9 15.23, 15.27
Wednesday, November 22 Thanksgiving Break -- --
Friday, November 24 Thanksgiving Break -- --
Monday, November 27 Chi square 16.1-16.2 16.1, 16.2
Wednesday, November 29 Goodness of fit 16.3 16.8, 16.10
Friday, December 1 Contingency tables 16.4 16.18, 16.30
Monday, December 4 One-sided and compound tests 16.5-16.6 16.26, 16.34
Wednesday, December 6 Review/Evaluations Practice Final No Homework
Friday, December 8 Review -- No Homework
Final - Monday, December 11, 8-10 am