STATISTICS 5013-002: STATISTICS FOR EXPERIMENTERS I

Tuesday 6.45pm – 9.30pm

CLB 212

Instructor: Dr. Nishantha Samarakoon

Office: 303 Mathematical Sciences Building in Stillwater, 373 NCB in Tulsa

Phone: (405)-744-5302 (Stillwater), (918)-594-8159 (Tulsa)

E-mail: anura@okstate.edu

Office Hours: Tuesday 1.00pm-2.00pm, Thursday11:00am-12:00noon. If you are not able to

speak with me during office hours, call or email to make other arrangements.

Prerequisites: Graduate Standing and College Algebra

Class Materials:

Computer Usage: Some computing skills will be useful. You are welcome to use a

programming language or computing package of your choice but I will present examples

using SAS and (or) SPSS. Some of the homework solutions or lecture presentations will contain

computer output from SAS/SPSS. Students in this university have online access to virtual

SAS/SPSS using VDI desktops (See the attached paper for more details).

Grading:

Homework Assignments 20%

Data Analysis Project 15%

Mid-Exam 25%

Comprehensive Final 30%

Class Attendance and Active Participation 10%

Scale: 100-90% (A), 89-80% (B), 79-70% (C), 69-60% (D), < 60% (F)

A final grade of Incomplete or “I” is given only in the event of a verifiable personal

emergency.

Textbook Statistical Methods, third edition

by Freund, Wilson, and Mohr

Calculator A Calculator with statistical

functions. Bring it to classes daily

Homework: Homework problems will be assigned throughout the semester. I will either give

problems from the textbook or assign other problems that will be posted in D2L Online. The

due date will be given when the homework is assigned and it is due at the class on the due

date. All the homework should be submitted individually (unless it is specified as a group) to

the instructor. You may turn in late homework assignments with a penalty of 10% per day late.

Homework will not be accepted after graded homework is returned.

Project: The project will be assigned midway through the semester and may consist of both

written and oral components. More details regarding the project will be given later in the

semester.

Exams: There will be a midterm exam and a comprehensive final exam in this course. The

exams are closed-book and closed-notes. The midterm exam will be approximately halfway

through the semester with the exact date to be determined by a convenient break in the

material. You will be given at least one week notice prior to the midterm exam. The

comprehensive final exam will be held on Tuesday, December 8th 2015 from 8:00pm to 9:50pm.

Class Attendance and Active Participation: Regular attendance and active participation in

classes are essential elements in the learning process. Students are expected to attend all class

sessions beginning with and including the first class session. Also, students are expected to be

on time to class and stay in the class until the end. The class starts at 6.45pm with attendance

being taken at the beginning of randomly selected class periods. If a student misses a roll call

because of tardiness, it will result in an absence. Absences will be permitted only when

advance notice is given to the instructor for a verifiable reason. Also I expect you to come to

the classes having reviewed the material covered in the previous class, having read the text,

and having questions related to class material or homework. This preparation for class is

essential so that you will learn not just passively watch. I also expect appropriate and

courteous classroom behavior at all times.

Course Topics

• Characterization of Data

• Probability and Probability Distribution

• Sampling from a Normal Distribution

• Hypothesis Testing

• Inferences of a Single Population

• Comparing Two Population Means

• Analysis of Variance

• Regression & Correlation

• Test of Independence: Contingency Tables