Basic statistical Methods

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ISyE 2028 – BASIC STATISTICAL METHODS
Georgia Tech Lorraine– Summer 2015
Time and Location: TBD
Instructor: Kamran Paynabar, Email: [email protected]
Office hours: TBD
Textbook:
“Applied Statistics and Probability for Engineers”, 6th Edition, Douglas C. Montgomery, George
C. Runger, Wiley, ISBN: 978-1118539712.
Website: https://t-square.gatech.edu
Prerequisite: ISyE 2027
Software: Minitab® 16
You can access the software through Vlab at http://vlab.matrix.gatech.edu/
Catalog Course Description:
An introductory course on statistical thinking, modeling, analysis, and decision making. This
course covers a variety of topics including descriptive statistics, point and interval estimation,
hypothesis testing, regression analysis, analysis of variance, etc.
Course Outcomes:
By the end of the semester you will be able to:
 Summarize and interpret a dataset using descriptive statistics
 Estimate parameters of a distribution based on a random sample
 Construct confidence intervals for parameters of a distribution
 Make a decision about a population based on a random sample
 Predict a response variable based on one or more predictor variables
 Identify important factors influencing a response variable
 Determine a probability distribution of a population based on a random sample
Grading policy
Quizzes and class participation
Exam 1
Exam 2
Exam 3
10%
30%
30%
30%
Course policy
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There are several unscheduled quizzes and group activities during the semester.
Requests for re-grading exams/quizzes should be made within a week of returning exams.
Exams are comprehensive and closed-book. For exam I, II and III, students are allowed
to bring one, two, and three (double-sided) sheets for equations, respectively. There are
no constraints on the contents of the notes.
Homework is posted weekly along with solutions, but it is not graded.
Detailed information about group project can be found on T-square.
Academic Honor Code: It is your responsibility to get familiar with the Georgia Tech Honor
Code and you are bound by its requirements.
Use of any previous semester course materials is allowed for this course; however, I remind you
that while they may serve as examples for you, they are not guidelines for any tests, quizzes,
1
homework, projects, or any other coursework that may be assigned during the semester.
For any questions involving these or any other Academic Honor Code issues, please consult me,
my teaching assistants, or www.honor.gatech.edu.
Tentative Lectures Schedule:
The topics covered and the dates they are to be covered are subject to change.
Week
1
1
1,2
2
3
4
5
5,6
7
8
9
10,11
12
Topics
Course overview + Introduction
Descriptive Statistics
Probability Distributions Review
Sampling Distributions and Central Limit Theorem
Point Estimation
Exam I
Confidence Interval for Single Population
Hypothesis Testing for Single Population
Statistical Inference for Two Populations
Goodness of Fit and Independency Tests
Simple Linear Regression
Exam II
Multiple Linear Regression
Analysis of Variance (ANOVA)
Exam III
2
References
Ch1
Ch6
Ch3&4
Ch7
Ch7
Ch8
Ch9
Ch10
Ch9
Ch11
Ch12
Ch 13
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