Download Department of Mathematics and Statistics College of Engineering and Mathematical Sciences

Department of Mathematics and Statistics
College of Engineering and Mathematical Sciences
University of Vermont
STAT 143 – Statistics for Engineering
Instructor
Fall 2014
Bernard “Chip” Cole, PhD
Professor of Statistics
104 Mansfield House, 25 Colchester Ave.
E-mail: <[email protected]> Tel: 656-0054
Office Hours
10:00 AM – 11:00 AM Tuesdays or by appointment
Teaching
assistant
James Sharpe
Graduate Student in Statistics
E-mail: <[email protected]>
TA office hours to be announced
Catalog
Description
Data analysis, probability models, parameter estimation, hypothesis testing.
Multi-factor 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
TR 1:00 PM – 2:15 PM
Classroom
Williams 301
Assignments
Assignments will weekly and not collected or graded. Solutions will be
provided.
Examinations
There will be three exams (two midterms and one final). All exams will be
cumulative, closed-book and no-notes. There will also be three 20-minute
quizzes (closed-book and no notes, but NOT cumulative). You will need a
scientific calculator for each exam and quiz.
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 the three quizzes (10% each), the two midterm
exams (20% each) and the final examination (30%). 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 – Fall 2014
Date
Topic(s)
8/26
8/28
9/2
9/4
9/9
9/11
9/16
9/18
9/23
9/25
9/30
10/2
10/7
Sampling and Descriptive Statistics
Basic Ideas of Probability
Counting Methods
Conditional Probability and Independence
Random Variables
Random Variables; Quiz
Linear Functions of Random Variables
Exam
Binomial Distribution
Poisson Distribution
Normal Distribution
Central Limit Theorem; Quiz
Confidence Intervals for Population Mean–
Large Sample
Confidence Intervals for Proportions;
Confidence Intervals for Population Mean–
Small Sample
Introduction to Hypothesis Testing
Hypothesis Tests for Population Means–Large
Sample; Hypothesis Tests for Proportions
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
Tests with Categorical Data
Exam
Simple Linear Regression and Least Squares
Uncertainty in Least Squares Estimation
Correlation
Transformations; Quiz
Introduction to Multiple Regression
Review
Final Exam
10/14
10/16
10/21
10/23
10/28
10/30
11/4
11/6
11/11
11/13
11/18
11/20
12/2
12/5
2
Reading
(text chapters)
1
2.1
2.2
2.3
2.4 (pp 90–104)
2.4 (pp 104–110)
2.5
Pages in
Notes
1–13
14–24
24–30
31–40
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
7.1
7.4
8.1
152–158
159–168
169–177
178–183