Statistical Methods [STT 200 Section 105]

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Statistical Methods [STT 200 Section 105]
Instructor : Michael DeLaura
Office : C503 Wells Hall
Email : delaura1@stt.msu.edu
Class Meetings : MWTH 7:00-8:50 PM B104 Wells Hall
Office Hours : MW 3:00-4:30 and by appointment
Prerequisite :(MTH 103 or MTH 110 or MTH 116 or MTH 124 or MTH 132
or LB 118) or designated score on Mathematics Placement test.
Statistics Help Room : A102 Wells Hall
Course Web Site : Found under class pages at stt.msu.edu. (Under Section
105).
Textbook : De Veaux, Velleman and Bock, Intro Stats 3rd edition ISBN:
9780321500458
Course Description : A first course in probability and statistics covering
data analysis, probability models, random variables, estimation, tests of hypothesis, confidence intervals, and simple linear regression.
Course Objective : Statistics is a discipline that supports research and
development. Its methods help scientists, doctors, engineers, attorneys, educators, communicators, and almost all researchers and decision-makers be effective
in gathering information, presenting it, and using it intelligently. We are amidst
the age of information, and it is essential that we learn to deal with it effectively. This course shows how the science of probability and statistics gives you
guidance for both your daily life and in your chosen profession.
Lecture : The lectures are used to present basic ideas. STT 200 is a survey
course of the most practical and commonly encountered statistical concepts and
methods. The course is taught at an elementary mathematical level and will
emphasize both conceptual and mathematical problem solving. The course is
divided into three broad units: 1) Descriptive Statistics, 2) Probability, and 3)
Statistical Inference.
Grading : Final grades will be based on five homework assignments, five
quizzes, two midterm exams, and a comprehensive final exam.
Homework : There will be five homework assignments, distributed roughly
once per week. They will be given in class or sent by email. Each assignment
will be worth 20 points.
Quizzes : There will be five thirty to forty-five minute quizzes. Each quiz
will be worth 20 points, and will (usually) be given each Monday at the end of
class starting May 23rd. The quizzes will be similar to problems that you have
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recently seen in both lecture and on homework assignments.
Exams : There will be two mid-term in class exams during the semester
(100 points each), and one comprehensive final exam (200 points). The tentative
dates are below. Make-up exams will NOT be given. If you have a legitimate
reason along with verifiable documentation, your final exam may be scaled to
300 points. Tentative exam dates are as follows:
Mid-Term 1:
Mid-Term 2:
Final Exam:
June 2nd
June 23rd
June 30th
Grading : Your final grade will be calculated out of 600 total points, earned
as follows:
Homework:
Quizzes:
Midterm Exams:
Final Exam:
Total:
5 x 20
5 x 20
2 x 100
= 100 points
= 100 points
= 200 points
200 points
600 points
The grading scale will be as follows:
90-100
4.0
85-89.9
3.5
80-84.9
3.0
73-79.9
2.5
65-72.9
2.0
60-64.9
1.5
55-59.9
1.0
0-54.9
0.0
Calculators : You may use any calculator you wish. The recommended
calculators include: TI-83 series and TI-84 series. Note: It is your responsibility to learn how to use your calculator.
Attendance : You are expected to attend all class meetings. If you miss
a class for whatever reason, you are responsible for all materials, assignments,
and deadlines missed.
Academic Honesty : The Department of Statistics and Probability adheres to the policies of academic honesty as specified in the General Student
Regulations 1.0, Protection of Scholarship and Grades, and in the all-University
of Integrity of Scholarship and Grades, which are included in Spartan Life: Student Handbook and Resource Guide. Students who plagiarize may receive a 0.0
on the assignment or fail the course.
ADA: To arrange for accommodation, a student should contact the Resource Center for People with Disabilities at http://www.rcpd.msu.edu/.
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Important Dates :
Event
Class Begins
Open adds end (8:00pm)
Last day to drop with refund (8:00pm)
Last day to drop with no grade reported (8:00pm)
Class Ends
Date
5/16/2016
5/18/2016
5/26/2016
6/8/2016
6/30/2016
Disclaimer : The instructor reserves the right to make any changes or additions that are academically advisable to any part of this syllabus. Such changes,
if any, will be announced in class. Please note that it is your responsibility to
attend the class and keep track of the proceedings.
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