Math 365, Fall 2005


Elementary Statistics

Elementary descriptive statistics of a sample of measurements; probability; the binomial, and normal distributions, populations and sampling from populations; statistical inference.

Prerequisites: MATH 101 or MATH 104 or MATH 111 (Not open to students with credit in BUS 368, MATH 526 or MATH 628).

Enrollment Changes: All changes (drops, adds) must be made in the Enrollment Center – 151 Strong Hall.

Credit Hours: 3

Textbook: Intro Stats, De Veaux, Velleman, Bock, Addison-Wesley, 2nd edition


Homework Grading Policies and Expectations

Homework assignments will be given on Wednesdays. Assignments will be collected at the beginning of the lectures. NO LATE HOMEWORK WILL BE ACCEPTED. Each assignment will be graded on the basis of ten (10) points. Please use 8 ½ x 11 paper that is folded in half lengthwise. ON THE OUTSIDE WRITE: NAME, DATE, and ASSIGNMENT NUMBER

Examinations: Exam I: October 7, Exam II: October 31, Exam III: November 21, Final Exam (optional) or Final Project Due: December 15

Grading System: Your grade in this course will be determined on a point system. A maximum of 1000 points can be accumulated as follows:

Assessment ComponentPossible Points
Exams [Exam 1 (200 points)]400 points
Final Exam / Final Project200 points
Homework150 points
Quizzes150 points
Participation (essays + 1 minute papers)100 points
Total1,000 points

Withdrawals: The withdrawal rules are those of the College of Liberal Arts and Sciences.

Changes: The instructor reserves the right to modify the schedule announced in this bulletin if conditions arise during the semester which make such changes desirable.


Reading Assignments

Reading assignments for the lectures will be given. You are strongly urged to read the material before the lecture(s) and to begin the homework assignments early.


Lectures

Members of the class are expected to attend the lectures, which will be used to explain new material, to work typical examples and to answer some questions. The course will cover most chapters of the text. Also, a few topics related to the material in the book will be assigned.

Course ComponentDuration
Part I - Exploring and Understanding Data1 week
Part II - Exploring Relationships between Variables1 week
Part III - Gathering Data1 week
Part IV - Randomness and Probability3 weeks
Part V - From the Data at Hand to the World at Large2 weeks
Part VI - Learning about the World2 weeks
Part VII - Inferences When Variables are Related2 weeks