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Department of Mathematics and Statistics
College of Engineering and Mathematical Sciences
University of Vermont
STAT 143 – Statistics for Engineering
Instructor
Spring 2015
Bernard “Chip” Cole, PhD
Professor of Statistics
104 Mansfield House, 25 Colchester Ave.
E-mail: <bfcole@uvm.edu> Tel: 656-0054
Office Hours
1:00 PM – 2:00 PM Tuesdays or by appointment
Teaching
assistant
Lucy Greenberg
Graduate Student in Statistics
E-mail: <lgreenb1@uvm.edu>
TA office hours to be announced
Catalog
Description
Data analysis, probability models, parameter estimation, hypothesis testing. Multifactor experimental design and regression analysis. Quality control, SPC,
reliability. Engineering cases and project. Statistical analysis software.
To help students develop an understanding of statistical thinking and to enable
students to apply and interpret basic statistical techniques in the context of
engineering.
Objectives
Prerequisites
Math. 12, 14, 20 or 22
Required Text
Statistics for Engineers and Scientists, 4rd edition by W. Navidi
Meeting times
Tues./Thurs. 4:00 PM – 5:15 PM
Classroom
Rowell 118
Assignments
There will be 8 assignments graded as pass/not pass.
Examinations
There will be three exams (two midterms and one final) and three 20-minute
quizzes. You will need a scientific calculator for each exam and quiz. All tests
will be closed book and no notes. Selected formulas will be provided. The
quizzes and midterms are generally not cumulative. The final exam will be
cumulative.
Software
JMP version 11.0 (available at https://www.uvm.edu/software/)
Website
Blackboard (http://bb.uvm.edu)
Grading
Your grade will be based on assignments (5% total), three quizzes (10% each),
two midterm exams (20% each) and the final exam (25%). Letter grades will be
assigned as follows: 97 to 100: A+; 93 to 96: A; 90 to 92: A–; 87 to 89: B+; 83 to
86: B; 80 to 82: B–; 77 to 79: C+; 73 to 76: C; 70 to 72: C–; 67 to 69: D+; 63 to
66: D; 60 to 62: D–; 59 or less: F.
1
STAT 143 SYLLABUS
Date
Topic(s)
1/13
1/15
1/20
1/22
Sampling and Descriptive Statistics
Basic Ideas of Probability
Counting Methods
Conditional Probability and Independence;
Assignment 1 due
Conditional Probability and Independence
Random Variables; Quiz
Random Variables
Linear Functions of Random Variables; Assignment
2 due
Review of Probability
Exam
Binomial Distribution
Poisson Distribution; Assignment 3 due
Normal Distribution
Central Limit Theorem; Quiz
Confidence Intervals for Population Mean–Large
Sample
Confidence Intervals for Proportions; Confidence
Intervals for Population Mean–Small Sample;
Assignment 4 due
Introduction to Hypothesis Testing
Hypothesis Tests for Population Means–Large
Sample; Hypothesis Tests for Proportions;
Assignment 5 due
Hypothesis Tests for Population Means–Small
Sample; Comparing Two Means–Large Sample
Hypothesis Tests for Comparing Two Proportions;
Comparing Two Means–Small Sample; Tests for
Paired Data; Assignment 6 due
Tests for Categorical Data
Exam
Simple Linear Regression and Least Squares
Uncertainty in Least Squares Estimation; Assignment
7 due
Correlation
Transformations; Quiz
Distribution-Free Tests
Introduction to Multiple Regression;
Assignment 8 due
Review
Final Exam 4:30 PM – 6:30 PM in Rowell 118
1/27
1/29
2/3
2/5
2/10
2/12
2/17
2/19
2/24
2/26
3/10
3/12
3/17
3/19
3/24
3/26
3/31
4/2
4/7
4/9
4/14
4/16
4/21
4/23
4/28
5/5
2
Reading
(text chapters)
1
2.1
2.2
2.3
Pages in
Notes
1–13
14–24
24–30
31–36
2.3
2.4
2.4
2.5
36–40
41–48
49–53
54–61
4.1, 4.2
4.3
4.5
4.11
5.1
62–70
71–76
77–93
93–98
99–106
5.2, 5.3
107–113
6.1
6.2, 6.3
114–120
121–131
6.4, 6.5
132–140
6.6–6.8
141–145
6.10
146–151
7.2
7.3
152–158
159–168
7.1
7.4
6.9
8.1
169–177
178–183
184–190
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