STA205-009 - Introduction to Statistical Methods, Spring, 2020

INSTRUCTOR: Andy Long. Office: MEP443; phone: 572-5794; email: longa@nku.edu

Introduction to Statistical Methods (3): Graphical descriptive measures; numerical descriptive measures; probability; hypothesis testing, estimation; analysis of variance; chi-square; regression; analysis by means of statistical software.

MEETING TIME/PLACE: TR, 9:25-10:40 p.m., MEP461

EXPECTED BACKGROUND: C- or better in MAHD 092 or MAHD 095 or MAHD 099 or placement. Credit is not given for both STA 205 and STA 212. Not open to students who have completed STA 250 or STA 314.

TEXT/Resources: Notes prepared by Prof. Brooke Buckley, and software tools IMath (an on-line homework system) and StatCrunch (a web-based statistical software package) will be used. A basic scientific calculator which can take the square root of quantities is required. Cell phone calculators may not be used in class or on exams.

GRADING: There will be two exams and a comprehensive final. Homework will be assigned regularly and there will be quizzes (based strongly on the homework), usually on Thursdays. The best 10 will be counted.

Your course grade will be determined based on the following percentages totals:

Homework: 20% Quizzes: 20% Two Exams 40% Final 20%

The tests will be given in class, closed book. Make-up exams will not be given except in extreme circumstances.

I use the standard grading scale, with a small buffer zone for the assignment of plus/minus grades:

HOMEWORK: Homework will be assigned regularly. You should do the homework in order to do well in the course. Some homework assignment may be handed in and graded (e.g. computer output and analyses, perhaps in place of "quizzes"), although most of your homework will be done on-line using IMath.

ATTENDANCE: The student is responsible for all material assigned or discussed in class. Attendance will be taken, and may be used along with class effort (as measured by participation - asking questions, answering other students' questions, group work, visiting office hours, etc.) to resolve borderline grades.

WITHDRAWAL: The last day to drop a course with a grade of W is Monday, March 23.

OFFICE HOURS: MW 10:00-12:00 and 1:00-2:00; TR 10:45-12 and 1:00-1:30; F 10:00-11:00. I am also available by appointment, and at random when approached with a smile.

LEARNING OBJECTIVES & ASSESSMENT: Student learning objectives for each major topic will be posted with each note packet. These objectives give detailed information as to what students are expected to have learned, or to be able to do when assessed. Students will be assessed on these objectives in a variety of methods including in-class exams, assignments, and the final exam.

Notes:

• Course homepage: http://www.nku.edu/~longa/classes/sta205-009
• I reserve the right to alter this syllabus if necessary. Any changes will be discussed in class, and all students will be notified.
• If you need accommodations for any sort of disability please talk with me so that I may do my best to meet your needs.
• The Departmental Syllabus for all Mathematics courses is a part of the syllabus for this course. Additional information concerning Secondary Education Students is available on the Departmental Syllabus.
• No electronics (other than calculators) are permitted in class without a doctor's orders. If you should choose to use another electronic device (intentionally or not) without my permission, you will be excused from class immediately, and not allowed to return to class that day. You will be asked to sign a classroom agreement, indicating your acceptance of this.
• NKU's course evaluation policy