Download MATH 251 – Introduction to Statistics

MATH 251 – Introduction to Statistics
Time/Place:
9:00-9:50am, MT-HF, SF 203
Text:
Brase & Brase, Understandable Statistics, 7th ed,
Houghton-Mifflin, 2003.
Instructor:
Jon D. Vanderwerff, AH 111, 785-2553
e-mail: [email protected]
homepage: http://www.cs.lasierra.edu/~jonv
Office Hours:
M 10,3; T 10; W 3; Th 10; F 10
Examinations:
In-class:
Assignments:
Will be assigned regularly with due dates announced in class. Late
assignments will not be accepted. Some assignments may involve the use of
technology.
Grading:
Quizzes: 5%
Assignments: 20%
Hour Examinations: 45%
Final Examination: 30%
Friday, October 10
Tuesday, October 28
Friday, November 21
Comprehensive Final: 8:00am, Wednesday, December 10, 2003
Written work will be graded both on correctness and presentation. Therefore, it is important to justify all
steps in solutions to problems. Letter grades will be assigned using the following percentages.
A 92 –100%
A- 90 – 91%
B+ 88-89%
B 82-87%
B- 80-81%
C+
C
C-
75-79%
70-74%
65-69%
D+ 60-64%
D 50-59%
F
0-49%
Special Services: If you have a documented disability and wish to discuss academic accommodations,
please contact me after class or contact the Learning Support and Testing Center at 785-2452 to determine
appropriate accommodations.
Course Objectives: After completing this course, students are expected to be able to solve problems and
effectively organize and communicate ideas using the language and techniques from the basic concepts of
probability and statistics which comprise course topics as outlined below.
Course Topics: The course will cover most of the material from chapters 1 through 9, and some of the
material from chapters 10 and 11 in the text which include the following topics. Describing sets of
measurements with graphical and numerical techniques. Basic concepts of probability including sample
spaces, probability of an event, compound events and combinatorics. Discrete and continuous probability
distributions; the binomial and normal distributions. Statistical inference and hypothesis testing
concerning means and proportions. Inference concerning two population parameters in large and in small
sample cases. Linear regression and correlation. Analysis of variance. Chi-square tests and F-distribution.
For Further Information See: http://www.cs.lasierra.edu/~jonv/classes/m251a03/a03.htm