After some basic concepts and terminology are introduced, a survey of important graphical and numerical methods for describing data sets is presented.

A rather traditional development of probability is then given, followed by a detailed analysis of probability distributions of discrete and continuous random variables. Joint distributions and their properties are also discussed.

Upon successful completion of this course, the student will be able to:

1) use statistical core terminology accurately.

2) Organize and summarize data using both numerical and graphical methods.

3) Calculate probabilities of events expressed in words or defined in terms of values of random variables.

4) Understand how factors like sample size, confidence level, and estimated standard deviation of estimator

    affect the width of a confidence interval and estimate population parameters using confidence intervals.

Major exams cannot be made up without the permission of the Dean’s Office. The Dean’s Office will grant such permission only when the absence was caused by a serious impediment, such as a documented illness, hospitalization or death in the immediate family (in which you must attend the funeral) or other situations of similar gravity. Absences due to other meaningful conflicts, such as job interviews, family celebrations, travel difficulties, student misunderstandings or personal convenience, will not be excused. Students who will be absent from a major exam must notify the Dean’s Office prior to that exam. Absences from class due to the observance of a religious holiday will normally be excused. Individual students who will have to miss class to observe a religious holiday should notify the instructor by the end of the Add/Drop period to make prior arrangements for making up any work that will be missed.