Download Introduction to Probability and Statistics for Engineers Statistics 3470

Introduction to Probability and Statistics for Engineers
Statistics 3470 - Spring 2014 Syllabus
Instructor: Dr. Judit Bach
Course Meets: MWF 9:10 – 10:05 a.m.
Office:
229 Cockins Hall
Jennings Hall 0155
Office Hours: M: 10:30 a.m. – 12:30 p.m.
Grader: Jianan Liu
W: 3:00 – 3:55 p.m.
[email protected]
F: 10:30 – 11:30 a.m.
or by appointment
E-mail:
[email protected]
Office Phone: 688-0930 (primary communication is e-mail !)
Textbook: Probability and Statistics for Engineering and Sciences (8th edition) by Jay Devore.
(The book is also available on reserve in the Science and Engineering Library.)
Website: The official course website is https://carmen.osu.edu/ . Check Carmen periodically for
announcements about the class and additional class material.
Software: We will use Minitab in class. If you would like to rent or buy a copy of Minitab, please see
http://www.onthehub.com/minitab/ for information. Note that Minitab is only available for PCs, not for
Macs. Minitab is also available at all Student Computer Centers (see http://lt.osu.edu/locations-hours/ for
information).
While we will use Minitab in class, you can use whatever statistical package you would like for your
homework. If you would prefer to use another statistical package, that is fine (note that Excel is NOT a
statistical package).
Text data: Data from the text can be found at the text’s companion site, which can be found at the course
website and in the link
http://wwwwadsw.orth.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9780538733526&token=
You can download the data sets in whatever format you like.
Course Description: The course covers an introduction to probability, discrete and continuous random
variables, probability distributions, expected values, sampling distributions, point estimation, confidence
intervals, hypothesis testing and simple linear regression models. Students are responsible for all
material covered in class, in the assigned readings, and in homework problems.
Assumed Background Knowledge and Prerequisites: Calculus, integration, exponential function,
finite and infinite sums, union and intersection of sets. Prerequisite courses are Math 1152, 1161.xx,
1172, 1181H, 153, or 254.
Homework: There are 11 homework assignments tentatively scheduled throughout the semester. They
will be specified in class and on Carmen. You must show your work for all homework problems; do not
just write the final answer. All homework must be stapled and legibly written with the course name (Stat
3470), your name, my name, and the grader’s name on each page. Late homework will not be accepted
(no excuses). I understand that illness or unplanned emergencies may happen during the semester, so I
will drop your three lowest homework scores. I highly recommend that you save these “freebies” until
you really need to use them!
Exams: There are two exams during the semester and a final exam. One sheet of 8.5 x 11 paper with
whatever handwritten facts, formulas or explanations you find helpful may be brought to each exam (both
sides of the paper may be used). The final exam is on Friday, April 25, 2014, 10:00-11:45am. Two 8.5 x
11 sheets of paper (same rules as above) may be brought to the final. The final exam will be cumulative,
with a slight emphasis on those topics covered after the second exam. A calculator should also be brought
to all exams (no cell phone calculators or PDAs).
Re-grade Policy: If you have a question about the grading of a homework assignment or an exam, you may
file an appeal. An appeal consists of a neatly written or typed note on a 8.5 x 11 paper, attached to your
original paper, that explains what should be considered. All appeals must be filed within one week of the
date the paper was first returned to class. If you are absent the day a graded paper is first returned to the
class, it is your responsibility to come to me to get it in less than a week if you want to have a re-grade
option available to you.
Full credit policy: Full credit for each homework or exam problem can only be earned through showing
your justification for or work on each problem. Answers without work will not receive full credit.
Calculators: A calculator (with statistical functions) may be used for homework and exams. No calculators
on communication devices (e.g., cell phones, iPods, tablets) will be allowed during exams.
Grading: The final course grade will be based on:
Homework (8 out of 11, 3% each, excluding your three lowest scores) . . . . . . . . . . . . . . 24%
Exam 1 (Monday, Feb 24) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23%
Exam 2 (Wednesday, Apr 2). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .23%
Final Exam (Friday, Apr 25) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30%
100%
Percentage Grading Scale:
90% A 87% A- 83% B+ 80% B 77% B- 73% C+ 70% C 67% C- 63% D+ 60% D
Student Responsibility: You are responsible for your own learning. I am here solely to facilitate your
learning and understanding of the discipline of statistics. I will help you as much as I can, but learning the
material is ultimately up to you. This includes:

attending class meetings or getting assignments and notes from others if you miss class;
 
asking questions when you have them, either in class or out of class;
 
doing the assigned homework on time and participating in class; and
 
contacting me if you are having difficulties.
Study Rooms and Help Hours: Our TAs hold office hours in the Mathematics and Statistics Learning
Center in 134 Cockins Hall starting the second week of classes. The hours during which Stat 3460 TAs
will be available are posted at http://www.mslc.ohio-state.edu/
College of Arts and Sciences GEC Statement: Statistics 3460 is a Data Analysis course in the
Quantitative and Logical Skills category of the GEC. The goals and expected learning outcomes are:
Goals/Rationale: Courses in quantitative and logical skills develop logical reasoning, including the
ability to identify valid arguments, use mathematical models, and draw conclusions based on quantitative
data.
Learning Objectives: Data Analysis. Students understand basic concepts of statistics and probability,
comprehend methods needed to analyze and critically evaluate statistical arguments, and recognize the
importance of statistical ideas.
Academic Misconduct: Please help us to maintain an academic environment of mutual respect, fair
treatment, and personal growth. You are expected to produce original and independent work for exams.
Although students are often encouraged to work together on homework assignments, all students must
submit their own written work in their own words. It is the responsibility of the Committee on Academic
Misconduct to investigate or establish procedures for the investigation of all reported cases of student
academic misconduct. The term “academic misconduct” includes all forms of student academic
misconduct wherever committed; illustrated by, but not limited to, cases of plagiarism and dishonest
practices in connection with examinations. Instructors shall report all instances of alleged academic
misconduct to the committee (Faculty Rule 3335-5-487). Academic misconduct will not be tolerated and
will be dealt with procedurally in accordance with university policy, which can be found at
http://oaa.osu.edu/coam.html. For additional information, see the Code of Student Conduct at
http://studentaffairs.osu.edu/csc/.
Communication devices: Cell phones, PDAs and other communication devices must be either turned off
or put on vibrate during class. Please refrain from texting during class as a courtesy to those sitting around
you. All electronic devices other than a calculator must be shut off and put away during examinations.
Advice:
1. A tentative lecture schedule is given in this syllabus. Please give a first reading to scheduled text
sections before the lecture that covers that material.
2. The course moves rather quickly. If you are having difficulty, please get help as soon as possible.
Homework assignments can be very difficult if you wait until the last minute before trying any problems.
3. It is important that you provide sufficient detail in writing up solutions to the problems for grading. It is
also important that your solutions be presented neatly in a clear, easy to read and follow format. No credit
will be given for work that is too sloppy or difficult to read.
4. You may wish to photocopy your homework before turning it in around exam. Graded assignments due
immediately before a quiz or an exam might not be returned before the quiz or exam (however solutions
will be provided so that you can compare your work with them).
Addressing Issues of Differing Abilities: All students who feel they may need accommodations based
on the impact of a disability should contact the instructor privately to discuss their specific needs.
Students with documented disabilities must also contact the Office of Disability Services (ODS) in 150
Pomerene Hall (phone: 292-3307) to coordinate reasonable accommodations for the course. ODS forms
must be given to the instructor as early in the semester as possible.
Enrollment: ADD and SECTION CHANGES are handled by our department staff after the SIS
registration system closes (if space is available) on a first-come, first-served basis. Students should go to
408 Cockins Hall and speak with Jean Scott starting at 7:30 AM on Wednesday, January 15th. The
instructor does not sign paperwork associated with course registration.
Drop Date: The last day to drop the course without a ‘W' appearing on your record is Friday, January 31.
The last day to drop the course without petitioning is Friday, March 21.
Receiving an `I' for the Course: You cannot receive an incomplete for the course unless 70% of the
work in the course has been completed. Extenuating circumstances will be handled on a case-by-case
basis.
Tentative Class Schedule and Reading assignments
Date
M-Jan 6
W-Jan 8
F-Jan 10
M-Jan13
W-Jan 15
F-Jan 17
M-Jan 20
W-Jan 22
F-Jan 24
M-Jan 27
W-Jan 29
F- Jan 31
M-Feb 3
W-Feb 5
F-Feb 7
M-Feb 10
W-Feb 12
F-Feb 14
M-Feb 17
W-Feb 19
F-Feb 21
M-Feb 24
W-Feb 26
F-Feb 28
M-Mar 3
W-Mar 5
F-Mar 7
Mar 10-14
M-Mar 17
W-Mar 19
F-Mar 21
M-Mar 24
W-Mar 26
F-Mar 28
M-Mar 31
W-Apr 2
F-Apr 4
M-Apr 7
W-Apr 9
F-Apr 11
M- Apr 14
W-Apr 16
F-Apr 18
M- Apr 21
F-Apr 25
Topic
Course Introduction; Sample Spaces and Events
Axioms and Properties of Probability
Counting Techniques
Conditional Probability
Bayes’ Theorem and Independence
Random Variables; Discrete Distributions
Section
2.1
2.2
2.3
2.4
2.5 Hw 1 due (2.1-2.3)
3.1, 3.2
No class---Dr. Martin Luther King, Jr. Day
Discrete Distributions; pmf, cdf
Expected Values
Expected Values; Binomial Distribution
Binomial Distribution; Poisson Distribution
Probability Density Functions; cdf, Expected Values & Variances
Probability Density Functions; cdf, Expected Values & Variances
Normal (Gaussian) distribution
Exponential and Gamma Distributions
Jointly Distributed Random Variables
Jointly Distributed Random Variables
Expected Values, Covariance & Correlation
Distribution of the Sample Mean; Central Limit Theorem
Central Limit Theorem, Distribution of a Linear Combination
General Concepts of Point Estimation
EXAM 1
General Concepts of Point Estimation
Methods of Point Estimation
Methods of Point Estimation
Basic Properties of Confidence Intervals
Confidence Intervals for a Population Mean
No class-Spring Break
Confidence Intervals for a Population Mean and Proportion
Confidence Intervals for a Population Mean and Proportion
Hypothesis and Test Procedures
Tests About a Population Mean
Tests About a Population Proportion
Tests About a Population Proportion
Goodness-of-Fit Tests
EXAM 2
Simple Linear Regression Model
Estimating Model Parameters
Estimating Model Parameters; Inferences About the Slope
Inferences About the Slope; Inferences About Estimates
Inferences About Estimates
Assessing Model Adequacy
Multiple Regression
Multiple Regression
Friday 10:00-11:45am Final Exam
3.2 Hw 2 due (2.4-5,3.1)
3.3
3.3, 3.4
3.4, 3.6 Hw 3 due (3.2-3)
4.1, 4.2
4.1, 4.2
4.3 Hw 4 due (3.4,3.6,4.1)
4.4
5.1
5.1 Hw 5 due (4.2-4)
5.2
5.3, 5.4
5.4, 5.5 Hw 6 due (5.1-4)
6.1
Ch. 2-5
6.1
6.2
6.2
7.1 Hw 7 due (6.1-2)
7.2
7.2, 7.3
7.2, 7.3 Hw 8 due (7.1-2)
8.1
8.2
8.3, 8.4 Hw 9 due (7.3,8.1-2)
8.3, 8.4
14.1
Ch. 6-8
12.1
12.2
12.2, 12.3 Hw 10 due (8.3-4,14.1)
12.3, 12.4
12.4
13.1 Hw 11 due (12.1-4)
13.4
13.4