Course description:

This course is designed to apply statistical methods to Business Administration, Social Sciences, and other areas where a general knowledge of non-calculus statistics is desired. In addition, the course will provide a thorough explanation to work with a data set to perform various statistical tests or procedures and then summarize the results. In general, this course will enable students to think more critically about statistics and apply statistics in more varied and useful ways.

This course has Math 112 as previous course requirements, and I expect you to be committed to working hard and on a very regular basis to develop your statistical skills and be successful.

Grading:

Your grade will be determined by the total percentage of points that you have at the end of the session. The tentative scale to be used is given below. 

Grade	Percentage
A	90% to 100%
B	80% to 89%
C	70% to 79%
D	60% to 69%
F	below 60%

You will accumulate points from exams, periodic quizzes, homework assignments, and projects. There will be three one and a half-hour exams. Contact me as soon as possible (but certainly in advance of the exam), if you anticipate having a conflict with any of the exams.

Exam Dates:

The following are the dates for the exams:

Test	Date	Sections to be covered
1	February 24	1.1 to 3.5
2	April 7	4.1 to 5.6
3	May 12	6.1 to 8.4

The following relative weights for the exams, quizzes and homework will be used:

3 Tests	30%
Homework	15%
4 Projects	40%
Quizzes	15%

Make-up and late submission policy:

Make-up exams will be given only in the cases where a justified and verified excused absence has been established. If you anticipate having problems with the exam dates let me know in advance. However, make note that the make-up exam will be different and usually a little harder.

No homework submitted late will be accepted. The homework is an important part of your work and will help you master the material. You must work on all assigned problems. If you have difficulties with the homework come in to the office hours and I'll help you.

Attendance Policy:

In accordance with university regulations a maximum of three inexcusable absences during the semester will be allowed. Further inexcusable absences will result in a grade penalty. It is important that you attend class regularly and come prepared. I urge you to attend all classes! If you miss a class do the work and try to stay up-to-date.

Advice, Expectations, and Other Recommendations:

You are expected to participate in each class. Come to class prepared. That is, review the material covered in the previous class, read the sections that we will go over in the upcoming class period, and work all the problems assigned for that day. Study on a daily basis. Stay on top of things and seek help as soon as you experience problems. I am willing to help you in any way I can. Take advantage of the office hours! Additional help in the form of one-on-one tutoring and homework help is available through the OLAS program.

Homework:

You will need to have both a notebook to take down notes in class and to work out the problems you will work in class. For the homework and any other work you submit, SHOW ALL YOUR WORK and not just answers. This is important so you can earn partial credit even for problems with incorrect answers and for me to try to determine what you have not mastered yet and why. Submit all your exercises in regular 8 x 11½ paper.

Some of the problems and examples in your textbook will assume you have a calculator (any scientific calculator will do). These problems are clearly marked in your text. Some of these problems are assigned in the homework.

Projects:

• For the presentation of the projects, be professional in your work. Write out your answers as neatly and precisely as you can. Do not simply write down the values of the relevant statistics. This is not what is intended in these questions!
• Be discriminating about proper use of statistical terminology and learn to spell the terms correctly.
• Projects and their reports must be typed and in a binder.

Each report will be graded as follows:

Contents and accuracy of theory	60%
Format	25%
Overall appearance	15%