M&IS24056: Fundamentals of Business Statistics

(Summer III 2006)

 

 

Instructor: Xiaolin Li

Office: A409 BSA

Phone:(330) 672-1160 

E-mail: xli8@kent.edu

 Office Hours: Tuesdays 3:00pm—5:00PM

   

 

 

This course is an introduction to concepts in statistical methods and their applications to real-world problems. It is designed for students to understand fundamental statistical concepts and methods and their applications. The course examines both the theoretical and practical side of a variety of statistical methods. Students will be given ample opportunities to apply the techniques to different problems.

 

 

Prerequisites: Math 11011 (Algebra); Students who have not successfully completed the course prerequisites must withdraw from this class. You risk deregistration otherwise.

 

Enrollment: It is the student’s responsibility to ensure proper enrollment in classes.  If you do not have proper enrollment in the course, even though you attend all classes and complete all assignments, you will not receive a grade at the conclusion of the semester.

 

 

Aliaga and Gunderson, Interactive Statistics, Prentice Hall, 2006.

 

 

In accordance with University policy, if you have a documented disability and require accommodations to obtain equal access in this course, please contact the instructor at the beginning of the semester or when given an assignment for which an accommodation is required. Students with disabilities must verify their eligibility through the Office of Student Disability Services (SDS) located in room 181 of the Michael Schwartz Student Services Center (Voice/TTD: 672-3391).

 

 

Although no grade is assigned to attendance, attendance is very critical for you to succeed in the class. Bad attendance will affect your performance in the quizzes and exams and eventually affect your final grade. A firm rule for this class is: you should never be absent from the class unless you can provide a convincing and legitimate reason before the absence.

 

 

 

 

You will be given two quizzes and two examinations during the semester.  The grades allocated to the quizzes and exams are as follows

 

 

 

The student must complete all quizzes and exams independently. No books, notes, or any other physical or electronic documents are allowed in the quizzes and examinations; violation of this will be treated as plagiarism and will result in a Fail score in the quiz or exam. Other actions may also be taken in case of cheating.

 

 

The grading scale for this course is as follows:

 

 

Percent	+/- Letter Grade	Percent	+/- Letter Grade	Percent	+/- Letter Grade
>=92%	A	80-81%	B-	65-69%	D+
90-91%	A-	78-79%	C+	60-64%	D
88-89%	B+	72-77%	C	<60%	F
82-87%	B	70-71%	C-

 

 

Cheating means to misrepresent the source, nature, or other conditions of your academic work (e.g., tests, papers, projects, online quizzes) so as to get undeserved credit. The use of the intellectual property of others without giving them appropriate credit is a serious academic offense. It is the University's policy that cheating or plagiarism result in receiving a failing grade for the work or course. Repeat offenses result in dismissal from the University. Students must indicate their acceptance to this policy before they are allowed to take any quiz or exam.

 

 

 

 

Note: The specific assignments and class topics covered may vary slightly, as time and necessity dictate. Additions or changes to this calendar will be announced in class. It is your responsibility to keep up with all assignments and any changes to the class schedule.

 

 

 

Class #	Date	Topics	Reading Assignment (to be complete before class)
1	T, 7/18	Syllabus, Introduction to Stats	Aliaga & Gunderson Chapter 1
2	R, 7/20	Sampling Quiz 1	Aliaga & Gunderson Chapter 2
3	T, 7/25	Plots & Graphs	Aliaga & Gunderson Chapter 4
4	R, 7/27	Descriptive Statistics	Aliaga & Gunderson Chapter 5
5	T,8/1	Midterm Exam	Midterm Exam Preparation
6	R, 8/3	Models, Probability	Aliaga & Gunderson Chapter 6-7
7	T, 8/8	Sampling Distributions, Quiz 2	Aliaga & Gunderson Chapter 8
8	R, 8/10	Confidence Interval, Comparing Means	Aliaga & Gunderson Chapter 10, 11
9	T, 8/15	Regression	Aliaga & Gunderson Chapter 13
10	R, 8/17	Final Exam	Final Exam  preparation