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Viewing: ST 307 : Introduction to Statistical Programming- SAS

Last approved: Wed, 26 Oct 2016 13:18:21 GMT

Last edit: Wed, 26 Oct 2016 13:18:18 GMT

Catalog Pages referencing this course
Change Type
Minor
ST (Statistics)
307
032221
Dual-Level Course
Cross-listed Course
No
Introduction to Statistical Programming- SAS
Intro Stat Programming- SAS
College of Sciences
Statistics (17ST)
Term Offering
Fall and Spring
Offered Every Year
Spring 2017
Previously taught as Special Topics?
No
 
Course Delivery
Face-to-Face (On Campus)

Grading Method
Graded with S/U option
1
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture and Lab1.0
Course Attribute(s)


If your course includes any of the following competencies, check all that apply.
University Competencies

Course Is Repeatable for Credit
No
 
 
Justin Post
Teaching Assistant Professor

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture and Lab50050YesPoole College of Management will begin requiring this course for all of their undergraduate majors. Thus, enrollment will leap from the current 100/semester to at least 500/semester starting in Spring 2017.
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Corequisite: ST 305 or ST 312 or ST 372 or Prerequisite: ST 350 or BUS 350
Is the course required or an elective for a Curriculum?
Yes
SIS Program CodeProgram TitleRequired or Elective?
17STMStatistics (Minor)Required
17STBSStatistics (Major)Elective
An introduction to using the SAS statistical programming environment. The course will combine lecture and a virtual computing laboratory to teach students how to use the SAS sytem for: basic data input and manipulation; graphical displays of univariate and bivariate data; one- and two-sample analyses of means; simple linear regression; one-way ANOVA. Documentation of code and writing of statistical reports will be included.

The primary change in this action is an addition to the course prerequisites. PCOM will be requiring this course for all their undergraduate majors. Most of those students will take BUS/ST 350 for their introductory statistics class. We are adding BUS/ST 350 as a PRE-requisite to the current list of CO-requisite classes. With the exception of ST 305, the current co-requisite courses are all the second course of a two-course series; ST 305 is a rapidly-moving 4-credit course for ST majors. Listing BUS/ST 350 as a co-requisite would create a situation where those students would not yet have seen the statistical methods being used in ST 307, especially during the first half of the course. Thus, we have an unusual mix of co- or pre-requisite options that all provide the needed statistics background for this course.


Other minor updates:


1- instructor is now Justin Post


2- updated expected enrollment


No

Is this a GEP Course?
No
GEP Categories

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Global Knowledge Open when gep_category = GLOBAL
Each course in the Global Knowledge category of the General Education Program will provide instruction and guidance that help students to achieve objective #1 plus at least one of objectives 2, 3, and 4:
 
 

 
 

 
Please complete at least 1 of the following student objectives.
 

 
 

 
 

 
 

 
 

 
 

US Diversity Open when gep_category = USDIV
Each course in the US Diversity category of the General Education Program will provide instruction and guidance that help students to achieve at least 2 of the following objectives:
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Requisites and Scheduling
 
a. If seats are restricted, describe the restrictions being applied.
 

 
b. Is this restriction listed in the course catalog description for the course?
 

 
List all course pre-requisites, co-requisites, and restrictive statements (ex: Jr standing; Chemistry majors only). If none, state none.
 

 
List any discipline specific background or skills that a student is expected to have prior to taking this course. If none, state none. (ex: ability to analyze historical text; prepare a lesson plan)
 

Additional Information
Complete the following 3 questions or attach a syllabus that includes this information. If a 400-level or dual level course, a syllabus is required.
 
Title and author of any required text or publications.
 

 
Major topics to be covered and required readings including laboratory and studio topics.
 

 
List any required field trips, out of class activities, and/or guest speakers.
 

This course will be taught by a Teaching Assistant under the supervision of one of our Statistics faculty (currently Dr. Muse). The TA will be paid from departmental funds, while the supervisor's effort will be applied to their standard teaching commitment.

Students will gain a basic competency using the SAS programming environment. They will be able to use SAS to conduct most of the analyses found in an introductory applied statistics sequence. Students will learn how to write and document SAS code effectively, and how to write clear and concise statistical reports based on SAS output.


Student Learning Outcomes

Upon completion of this course students should be able to:


Navigate the graphical interface of the SAS programming environment, and use that environment to:


1- Carry out basic data input and manipulation


2- Produce graphical displays of univariate and bivariate data, for both quantitative and categorical cases


3- Carry out 1- and 2-sample analyses of population means


4- Conduct basic simple linear regression analyses


5- Conduct basic one-way ANOVA analyses


Additionally, students will be able to


1- produce properly formatted and documented SAS code


2- write effective reports based on SAS programs and their output


Evaluation MethodWeighting/Points for EachDetails
Attendance15Attendance and participation in weekly lecture/virtual computer lab exercises
Homework45Weekly homework assignments
Project20First of two projects. Project one will focus on data input, summary, and graphical presentation. A written report and properly documented SAS code will be required.
Project20Second of two projects. Project two will focus on data analysis. A written report and properly documented SAS code will be required.
TopicTime Devoted to Each TopicActivity
1. Introduction to the SAS system1 weekGuided exploration of the SAS user interface
2. Anatomy of a SAS program1 weekIntroduction to the major elements of a SAS program.
3. Data inout and manipulation3 weeksLecture and guided lab activities to teach effective use of the SAS data step.
4. Summary Statistics1 weekLecture and guided lab activities to teach students how to compute basic numerical summaries of data.
5. Graphical Displays2 weeksLecture and guided lab activities to teach students to create a variety of graphical data displays
6. Analyses of Means2 weeksLecture and guided lab activities to teach students to use SAS for confidence intervals and hypothesis tests about population means
7. Simple Linear Regression2 weeksLecture and guided lab activities to teach students to carry out simple linear regression using SAS
8. Analysis of Variance (ANOVA)2 weeksLecture and guided lab activities to teach students the basics of ANOVA analyses using SAS
9. Documentation of Code1 weekHow to effectively docuement SAS code. In class group exercises and peer evaluation.
10. Writing Statistical Reports1 weekHow to write an effective statistical report. In class group exercises and peer evaluation.
The only change proposed here is to the prerequisites/corequisites. No changes to the course content are proposed.
aeherget (Tue, 11 Oct 2016 13:43:01 GMT): AECHH: Inputting Effective Date for next semester. 10/11/2016
Key: 7213