MATH 200 Introduction to Statistics
Instructor: Dr. Ray Schneider
Office Hours: Daily or by appointment.
(click on Courses link on left side of page)
Text(s): Understanding Basic Statistics 4th edition, by Charles Henry Brase and Corrinne Pellillo Brase, Houghton-Mifflin ã 2007 ISBN 13: 978-0-618-63227-5
The course covers basic descriptive statistics, probability, hypothesis testing, correlation and regression. Students are expected to use the concepts presented to draw statistically valid conclusions from data and solve statistical problems. Students perform a small statistical experiment, collecting and analyzing data and preparing a short presentation as part of the course. Upon completion students will understand the application of normal distribution statistics and Student-t distribution for small samples and be able to draw inferences to test hypotheses.
Attendance is required and may be checked each period. Excessive lateness and absenteeism may result in grade reduction or failure.
Students are expected to spend between two and three hours outside of class for each class hour (six to nine hours of outside of class study per week) working on assignments or on their own initiative to learn the body of knowledge and practice that forms the content of the course.
Grades will be based on student performance and will correspond to the grading policies of the instructor.