MA 2612 Applied Statistics II Term E, 2005
Instructor: J.
Petruccelli (jdp@wpi.edu;
508-831-5362)
Office
hours: 3:30-5:30 pm on Mondays and Wednesdays in Stratton Hall 105C or by
appointment.[1]
Lectures: 6:00-7:50
pm on Mondays and Wednesdays in Kaven Hall 207 .[2]
Textbook: Applied
Statistics for Engineers and Scientists by Petruccelli, Nandram and Chen.
Course Web Site: http://www.math.wpi.edu/Course_Materials/MA2612E05/main.html
Course Calendar: http://www.math.wpi.edu/Course_Materials/MA2612E05/Slide1.GIF,http://www.math.wpi.edu/Course_Materials/MA2612E05/Slide2.GIF
Course outline
1.
Hypothesis tests
(3 lectures)
2.
The relationship
between two variables (4 lectures)
3.
Multiple
regression (2.5 lectures)
4.
The one-way model
(2.5 lectures)
Course objectives: In order to earn a passing grade in this course, you must demonstrate a
sufficient level of competence in the following course objectives. These objectives are divided into the four
major areas addressed by the four text chapters we will cover.
1) Hypothesis
tests (Chapter 6):
a)
Objective 1:
Understand the philosophical and statistical reasoning behind hypothesis tests.
b)
Objective 2:
For a given problem description involving the 1 or 2 sample C+E or binomial
models:
i)
Be able to select
an appropriate hypothesis test to solve the problem.
ii)
Be able to
conduct the test.
iii)
Be able to
interpret the result.
2) The
relationship between two variables (Chapter 7):
a)
Objective 1:
Be able to graphically display and numerically summarize the relationship
between two quantitative variables.
b)
Objective 2:
Be able to build, fit, interpret, and check the aptness of a simple linear
regression (SLR) model.
c)
Objective 3:
Be able to summarize and interpret the relationship between two categorical
variables in a two-way table, and to test for their independence using a
chi-square test.
3) Multiple
Regression (Chapter 8):
a)
Objective 1: Be
able to build, fit, interpret, and check the aptness of a multiple linear
regression model.
b)
Objective 2:
Be able to diagnose and deal with multicollinearity.
4) The One-Way Model (Chapter 9):
a) Objective 1: Be able to fit and check the aptness of the fit of the
one-way and RCBD model.
b)
Objective 2:
Be able to conduct an F test for the equality of population means and construct
multiple comparisons for pairwise differences of population means in both the
one-way and RCBD models.
Quizzes: Your
competence in each of the four areas will be assessed by a quiz. Details:
1)
Quizzes are given
in four areas: one for each chapter. Quizzes for a chapter are based on that
chapters objectives as stated above.
2)
A grade of at
least 70% is required to pass a quiz .
3)
You will have at
most three opportunities to pass a quiz for any given chapter.
4)
Quizzes will be
open-book, open-note, and will last 30 minutes.
5)
A quiz for a
given chapter may be taken any time after the first lecture for that chapter. A
quiz for a chapter may not be attempted until quizzes have been passed for all
preceding chapters.
6)
Quizzes will be
administered during my office hours, immediately after each lecture, or by
appointment.
Homework: Assignments will be posted on the course web site, and
due dates are given on the course calendar.
Exam: There
will be a comprehensive final exam on the last day of the term: Wednesday, June
29. The exam is open book, open note. If you have passed all the quizzes and are
satisfied with a grade of C, you are not required to take the exam.
Makeups:
Makeup exams will not be given unless arrangements have been made with the
instructor prior to the exam, and then only in extreme circumstances. Please note the date of the final exam when
making any travel arrangements for the end of the term. Plans to start your term break early do not
qualify as an extreme circumstance warranting a makeup exam.
Grades
·
In order to earn
a passing grade in this course, you must earn a grade of at least 70% on a quiz
associated with each chapter.
·
Once you have demonstrated
competence in all of the objectives, your grade for this course will be based
on the number of points you earn on quizzes (70%), homework (10%) and the exam
(20%), with a bonus (5%) for any student who passes each quiz on the first
attempt.
·
You must earn at
least 90% of the available points in order to guarantee a grade of A in this
course and 80% to guarantee a B. The
instructor reserves the right to lower these grade cutoffs, but is under no
obligation to do so.
·
If you demonstrate
competence in all of the course objectives, but do not meet the requirements
for an A or B, you will receive a grade of C.
Course accommodations: If you need course adaptations or accommodations
because of a disability or medical condition please make an appointment to
discuss this with the instructor as soon as possible. No course adaptations, accommodations or
other special treatment will be given without written justification from the
WPI Disability Services Office.
Calculators: A
good calculator with some statistical functions may be helpful on quizzes and
the exam. It is your responsibility to
learn how to use the statistical functions available on your calculator. The following website provides help with several
calculator models: http://www.geocities.com/calculatorhelp/.
Collaboration and academic honesty
·
Collaboration on
homework is permitted and encouraged.
·
Quizzes and exams
are intended to be an individual effort.
If any collaboration is detected, all students involved will receive a
score of zero for that quiz or exam.
Collaboration includes discussing the quiz or exam with any student
taking it at a different time (e.g., quizzes given in different lab sections).
·
The WPI academic
honesty policy and its corresponding penalties apply to this course. If you are
unsure whether an activity would constitute a violation of the academic honesty
policy, please ask the instructor.
