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 2015
Bernard “Chip” Cole, PhD
Professor of Statistics
104 Mansfield House, 25 Colchester Ave.
E-mail: <[email protected]> Tel: 656-0054
Office Hours
TBA
Teaching
assistant
James Sharpe
Graduate Student in Statistics
E-mail: <[email protected]>
TA office hours TBA
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. 1:15 PM – 2:30 PM
Classroom
Votey 105
Assignments
There will be 8 assignments. They will not be collected or graded. Solutions will
be provided. The best way to succeed in this class will be to complete the
assignments and ask if you have any questions about a particular exercise
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 Pro version 12.0 (available at https://www.uvm.edu/software/)
Website
Blackboard (http://bb.uvm.edu)
Grading
Your grade will be based on three quizzes (10% each), two midterm exams (20%
each) and the final exam (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
Date
Topic(s)
9/1
9/3
9/8
9/10
Sampling and Descriptive Statistics
Basic Ideas of Probability
Counting Methods
Conditional Probability and Independence;
Assignment 1 suggested completion date
Conditional Probability and Independence
Random Variables; Quiz
Random Variables
Linear Functions of Random Variables;
Assignment 2 suggested completion date
Review of Probability
Midterm Exam
Binomial Distribution
Poisson Distribution;
Assignment 3 suggested completion date
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 suggested completion date
Introduction to Hypothesis Testing
Hypothesis Tests for Population Means–Large
Sample; Hypothesis Tests for Proportions;
Assignment 5 suggested completion date
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 suggested completion date
Tests for Categorical Data
Midterm Exam
Simple Linear Regression and Least Squares
Uncertainty in Least Squares Estimation;
Assignment 7 suggested completion date
Correlation
Transformations; Quiz
Review; introduction to multiple regression;
Assignment 8 suggested completion date
Final Exam 1:30 PM – 3:30 PM in Votey 105
9/15
9/17
9/22
9/24
9/29
10/1
10/6
10/8
10/13
10/15
10/20
10/22
10/27
10/29
11/3
11/5
11/10
11/12
11/17
11/19
12/1
12/3
12/8
12/17
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
62–70
71–76
4.5
4.11
5.1
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
169–177
178–183