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STAT 117R Introduction to Statistics |
Reading publications, exploring information related to other disciplines, and watching news programs, you will find data and this data will be analyzed and presented using statistical techniques, many of which you will learn about in this course. Having an understanding of analysis and interpretation of data related to hypothesis testing, confidence intervals, correlation, and regression is important for any discipline or workplace that necessitates the use and evaluation of data. To open various course files, you will need Adobe Reader; once you download and install Adobe Reader, you will be able to open the files. Syllabus: Carefully read the syllabus. This document provides information about course policies, the required textbook, calculator, and software, assignments, quizzes, and examinations, and attendance and participation. Readings, Handouts, and Resources: The only way in which to learn the material is to ask questions, do the related readings, study the concepts and methods, apply what we discuss by working on practice exercises, and consider real-world scenarios. The readings and practice exercises in the textbook are listed in the order in which topics will be examined during course meetings. Once a topic has been discussed, it is your responsibility do the corresponding readings and work on the associated practice exercises in the textbook and available through Pearson's MyLab (also known as MyLab Statistics and MyStatLab [MSL]). In addition to practice exercises, you should work the questions on handouts which were not discussed during course meetings.
Asking questions is important. Keep in mind that there is no such thing as a stupid question. |
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