Fall 2023, Section 001

3.00 Credits

Schedule Number 20941

Instructors: Roths, Scott

Important Dates

  • First Day of Class: through
  • End of Class: through

Sample Course Syllabus

You can view a sample course syllabus and a sample lesson for details of lessons and assignments for this course. (Note: this link will open in a new window.)

Tuition and Fees

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Remarks

Additional Prerequisite Information: A working knowledge of Matrix Algebra is a prerequisite (see review).

Students are strongly recommended to have access to a PC in order to use the required software. Students completing this course should be able to: select appropriate methods of multivariate data analysis, given multivariate data and study objectives; write SAS programs to carry out multivariate data analyses; interpret results of multivariate data analyses.

This course may require you to take exams using certain proctoring software that uses your computer's webcam or other technology to monitor and/or record your activity during exams.  The proctoring software may be listening to you, monitoring your computer screen, viewing you and your surroundings, recording and storing any and all activity (including visual and audio recordings) during the proctoring process.  By enrolling in this course, you consent to the use of the proctoring software selected by your instructor, including but not limited to any audio and/or visual monitoring which may be recorded. You will need to use an approved browser and one of the compatible operating systems which are listed in Honorlock's Minimum Requirements table. Please contact your instructor with any questions. 

Software:
SAS will be supported and sample programs will be supplied but you will be required to do some programing on your own. Due to different software applications, software versions and platforms there may be issues with running code. Students must be proactive in seeking advice and help from appropriate sources including documentation resources, other students, the teaching assistant, instructor or HelpDesk.

Statistical software SAS involves programming.  Students should already feel comfortable using SAS at a basic level, be a quick learner of software packages, or able to figure out how to do the required analyses in another package of their choice. Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit course in SAS in order to establish this foundation before taking STAT 505.

Schedule This Course

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Materials

Your course materials are listed below. Textbooks can be acquired from any number of textbook sellers. If you wish, you may purchase your books from the sources listed below. The information displayed is provided pursuant to the U.S. Higher Education Opportunity Act.

Required Materials

  • Edition: 6th
  • Author: Johnson, Richard A.
  • ISBN: 9780134995397
  • Publisher: Pearson
  • Source: BNC

Technical Requirements

Learn about the technical requirements for Penn State World Campus and test your settings.

This is the minimum technology needed to access the internet and Canvas course materials. Students should review this page for any additional hardware and software requirements for their academic program.

Software Requirements

Requires: SAS is the recommended software and will be used for all in-class demonstrations of statistical analyses, homework assignments, and exams. See the Statistical Software page (https://science.psu.edu/stat/education/statistical-software-packages) for more information. You will need to use an approved browser and one of the compatible operating systems which are listed in Honorlock's Minimum Requirement table (https://honorlock.com/support/).

Note

The above information is subject to change at any time by the Pennsylvania State University