This course will introduce basic statistical tools from probability and descriptive statistics. These have valuable "real-world" applications in a variety of fields. We will explore many of these applications, in a wide range of areas, from gambling, to the stock market, to environmental concerns, to civil rights, to sports. The class will prepare you to take STAT 301, the main business statistics course.
Grade information for the course is available here. This page reflects grades as of the end of the semester. Official course grades will be available on BannerWeb on Thursday, December 18.
This course is oriented around a "mastery" concept of learning. In this framework, exams and homework are intended primarily to provide a structure for mastery of course content, and only incidentally give a mechanism for assigning a grade. This is in direct contrast with traditional classes, where (at least functionally, if not intentionally) tests and assignments are primarily grade-oriented.
Material in the course is presented sequentially, from the most basic to the most advanced. We begin with foundational statistical procedures (the standard deviation, expected value, histogram, and normal distribution). Mastery of these topics is essential for success in further work in statistics. Students who demonstrate this mastery (on homework and by passing a "Basic Skills Test," merit a passing grade (D) in the course.
We then move on to somewhat more advanced topics — material that is still fairly fundamental, but not quite as absolutely needed for further course work as the previous. Topics here include more in-depth coverage of graphical techniques, as well as an introduction to correlation and regression models. Students who demonstrate mastery at this level, as evidenced by successful completion of homework assignments, merit a satisfactory (C) grade in the course.
Next comes material of more specialized real-world application. We'll consider more advanced descriptive procedures such as index numbers, and ranking and rating systems. Students will also read Darrell Huff's classic book, How to Lie with Statistics. Focus here is on familiarity with topics not necessarily covered in standard statistics courses, but which sees ample application in the real world. Mastery of the material at this level, as demonstrated through homework, is indicated by a good (B) grade in the course.
The course ends with coverage of basic topics in probability, including rules for probability of compound events, combinatorial probability, and conditional probability. While these are not "advanced" topics, they tend to be more difficult ones. They are presented not only for their own usefulness, but also for their value in building quantitative and analytic skills. Mastery of this material, as evidenced through homework and a final exam, is indicated by an outstanding (A) grade in the course.
There will be a homework assignment most weeks in this class. They progress in mastery levels (as discussed above) and are design to facilitate learning of course material. On each assignment a satisfactory grade of 80% or higher is expected. While the intention is that students will normaly demonstrate this level of mastery on first attempt, the homework assignments may be repeated as needed until sufficient competence is shown.
*NOTE that during Week 2 the Monday sections of the class do not meet (because of the Labor Day holiday), and during Week 14 the Wednesday sections of the class do not meet (because of Thanksgiving).