Mathematics and Computer Science
MAT 3702 - Probability and Statistics II - Spring 2017
This syllabus is tentative and should not be considered definitive. The instructor reserves the right to modify it to meet the needs of the class. It is the student responsibility to attend class regularly and to make note of any changes. Be sure you check the class website for sections covered on the exams, homework problems and announcements.
Catalog DescriptionCredit Hours: 3; Basic concepts of probability and statistics. The fundamental ideas of probability theory and its application to statistics including: data description; counting techniques; sample spaces and probability measures; random variables, distributions and densities; expectation, variance, and covariance; important special distributions and densities; useful functions of random variables.
PrerequisitesMAT 3701 Minimum Grade of C
TextbookWe will be covering most of chapters 5 to 14 out of "John E. Freund's Mathematical Statistics with Applications'', 7th Edition, by Miller and Miller.
Course Objectives- Conceptual understanding
- Technical proficiency
- Application
There will be a two exams and a comprehensive final exam. The dates and sections covered will be posted here. Your instructor will grant make-up exams to students for properly verified absences due to illness, emergency, participation in an official University activity, or participation in volunteer emergency work.
Tentative Schedule
- Week 1-2: Chapter 5
- Week 3-4: Chapter 6
- Week 5-6: Chapter 7
- Week 7-8: Chapter 8
- Week 9: Chapter 10
- Week 10: Chapter 11
- Week 11: Chapter 12
- Week 12-13: Chapter 13
- Week 14-15: Chapter 14
Homework will be assigned weekly, to be posted on this page. Regularly, there will be (pop) quizzes and in-class work which will count towards homework points. Since these are part of your homework score, they cannot be made up. No late homework will be accepted. Instead, up to 10% of total homework points will be dropped. Before attempting the homework problems, you are expected to read the sections carefully. You are strongly encouraged to discuss homework problems with your instructor, use the math tutoring service, and to work with your fellow classmates. However, you are expected to write up your own solutions.
All homework assignments must be typeset in LaTex with the problems in order and organized by section. The first homework assignment may be handwritten. Click here for slides from the Fall Latex Workshop. Click here for more sample files from past Latex Workshops. LaTex is installed in the computer labs Old Main 3041 and 3013, or it may be installed on your laptop, see link below. You may also use LaTeX online, see Overleaf. Homework template and examples in LaTex, as well as homework, quiz, and exam scores, can be found in D2L .
Some homework sets will require computation in "R", a free open statistical software package. Click here for directions on downloading R; site also contains extensive manuals and tutorials. R and RStudio are also installed on the computers in Old Main 3041 and 3014; or it may be installed on your laptop; or there is a free R online calculator, R-Fiddle.
| Monday | Wednesday | Friday |
| 9 Jan Chapter 5 Review Problems HW 1 due Fri 13 Jan |
11 Jan meet in computer lab Old Main 3041. R Lab 1 due Fri 13 Jan |
13 Jan Class canceled; read sections 5.8 and 5.9 |
| 16 Jan No Classes |
18 Jan In class work: 5.8 and 5.9 |
20 Jan read sections 6.1, 6.2, 6.3; HW 2: 5.84, 5.86, 6.7, 6.8, 6.9, 6.10, 6.12, 6.13, 6.23 due Fri 27 Jan |
| 23 Jan sections 6.2, 6.3 |
25 Jan sections 6.3, 6.5 |
27 Jan section 6.5. Not collected: 6.31, 6.36, 6.63, 6.65, 6.67, 6.71, 6.73, 6.75 |
| 30 Jan R Lab 2 meet in Computer Lab 3041 |
1 Feb sections 6.5, 6.6 |
3 Feb section 6.7; Quiz 1 on sections 6.5 and the Gamma function. |
| 6 Feb sections 7.2 |
8 Feb sections 7.2, 7.3 |
10 Feb HW 3 due today: tex file and pdf file. |
| 13 Feb review: go over examples in book and suggested hw problems, including ch 7 #'s 1, 3, 5, 7, 9, 11, 13, 15, 21 |
15 Feb Exam 1 will cover chapters 5, 6, 7.2, 7.3. |
17 Feb no classes |
| 20 Feb section 7.5 |
22 Feb section 8.2 Read "Statistics and the Law": Introduction and 'Identification Evidence'. SL Quiz 1 |
24 Feb section 8.2 Ch 7 Quiz 2: MGF technique and cdf/change of variable technique |
| 27 Feb sections 8.3, 8.4 |
1 Mar sections 8.4, 8.5 |
3 Mar HW 4 due: 7.45, 7.46, 8.2, 8.18, 8.63, 8.67, 8.68, 8.75, 8.77 read People vs Collins from 'Statistics and the Law' |
| 6 Mar section 11.2 |
8 Mar sections 12.2, 13.2 |
10 Mar 'A Bayesian Approach' SL Quiz 2; HW 5 due: 8.78, 8.79, 11.1, 11.5 |
| 20 Mar section 13.2 |
22 Mar section 11.3, 13.3 |
24 Mar Read 'Discrimination Cases' from 'Statistics and the Law'; HW 6 due: Ch 11#'s 22, 23, 27, 29, 30; Ch 12 #'s 28, 30, 32. Not Collected: Ch 11 #'s 6, 11, 20, 21, 26, 31; Ch 12 #'s 31, 33. |
| 27 Mar |
29 Mar |
31 Mar HW 7 due: submit a quiz question and answer for 'model building'; Ch 11 #'s 8, 33, 34, 35; Ch 13 #'s 25, 26, 30, 31, 38, 39, 42, 43. Not Collected: 11.23-37 odd; 13.19-35 odd |
| 3 Apr SL Quiz 3 on 'Model Building' R Lab 3 due |
5 Apr |
7 Apr Exam 2: Cover up to CI and HT on means and difference of means. One 4x6 notecard. Sections 7.5, 8.1-8.5, 11.1-11.3, 13.1-13.3 |
| 10 Apr submit a quiz QA for SL 'Discrimination in employment and education' |
12 Apr SL Quiz 4 |
14 Apr Quiz 3 on sections 11.6 13.4. See examples and problems 11.53, 54, 55; 13.47, 48, 49, 51, 52 |
| 17 Apr submit QA for SL 'Regression and remedies' |
19 Apr SL Quiz 5 |
21 Apr HW 8 due: Ch 14 # 3, 11, 13, 43, 49. Not Collected: 1, 4, 7, 15, 45, 47 |
| 24 Apr R Lab 4 due. Constant Variance |
26 Apr SL Quiz 6 on last two sections |
28 Apr Not Collected: Ch 14 # 31, 65, 66, 67, 68 |
- Click here for Actuarial Problem solving.
- Click here for probably a probability blog.
- Click here for an article on the distribution of minerals.
- Click here for the Generalized Monty Hall Problem.
- Click here for the Fake Randomness Project
- Click here for a nice table of selecting r from n distinguishable things.
- Click here for Poker Hand Rankings.
- Click here for the Khan Academy.
- Click here for using your calculator in math.
- Click here for a probability distribution chart.
- Click here for The Probability and Statistics Cookbook.
- Click here for more LaTeX resources.
- Click here R practice.
- Click here for histogram from R practice.
- Clck here for a quick R guide.
- Click here for binomial distribution table.
- Click here for Poisson distribution table.
- Click here for standard normal distribution table.
- Click here for Chi-square distribution table.
- Click here for t distribution table.
- The Riddler Do either two express or one classic.
- Click here for guess the correlation.
- Click here for spurious correlations.
- Open Intro R labs.
Course Grade
Your course grade will be determined using the following distributions:
| Exam 1 | 20% |
| Exam 2 | 20% | HW/Quizzes | 30% |
| Final Exam | 30% |
| Total | 100% |
You are guaranteed a grade of:
| A | if you earn at least 90%. |
| B | if you earn at least 80%. |
| C | if you earn at least 70%. |
| D | if you earn at least 60%. |
| F | otherwise |
Students are expected to attend class meetings as scheduled. When an absence does occur, the student is responsible for the material covered during the absence. When possible, the student should notify the instructor in advance of an anticipated absence.
Course and Instructor EvaluationsDuring the last few weeks of the semester, you will be provided an opportunity to evaluate this course and your instructor. Your feedback is vital to improving education at Eastern Illinois University. I strongly urge you to participate in the evaluation system.
Accommodations for Students with DisabilitiesClick here to view information regarding accommodations.
Academic DishonestyEastern Illinois University faculty and students commit themselves towards maintaining a culture of academic integrity and honesty. Click here to view the Student Code of Conduct. Violations will be reported to the Office of Student Standards, which can result in a failing grade for the course.
Student Success CenterStudents who are having difficulty achieving their academic goals are encouraged to contact the Student Success Center. The center provides individualized consultations for assistance with time management, test taking, note taking, avoiding procrastination, setting goals, and other skills to support academic achievement.
Take Care of YourselfDiminished mental health, including significant stress, mood changes, excessive worry, or problems with eating and/or sleeping can interfere with optimal academic performance. The source of symptoms might be related to your course work; if so, please speak with me. However, problems with relationships, family worries, loss, or a personal struggle or crisis can also contribute to decreased academic performance. Know that help, if needed, is available.
EIU provides cost-free mental health services through the Counseling Center to help you manage personal challenges that threaten your personal or academic well-being. Visit them on the first floor of the Human Services Building, Monday through Friday from 8:00 am-4:30 pm. You may also contact them at 217-581-3413. For after-hours emergencies, contact their emergency number at 217-549-6483.
If you are uncomfortable seeking on-campus services, LifeLinks in Mattoon offers mental health services. Although they charge fees for some services, they have a no-cost toll free Crisis Line (866-567-2400); when a caller phones the toll free number, they are immediately connected to a trained crisis clinician. There is no cost for this service, and it is available 365 days per year, 24 hours per day.
Remember, getting help is a smart and healthy thing to do - for yourself and for your loved ones.