Viewing: ST 517 : Applied Statistical Methods I

Last approved: Tue, 06 Nov 2018 09:00:12 GMT

Last edit: Mon, 05 Nov 2018 15:44:22 GMT

Changes proposed by: jbpost2
Catalog Pages referencing this course
Change Type
Major
ST (Statistics)
517
020266
Dual-Level Course
No
Cross-listed Course
No
Applied Statistical Methods I
Applied Statistical Methods I
College of Sciences
Statistics (17ST)
27.0501
Statistics, General.
Term Offering
Fall and Summer
Offered Every Year
Summer I 2019
Previously taught as Special Topics?
Yes
3
 
Course Prefix/NumberSemester/Term OfferedEnrollment
ST590Summer25
Course Delivery
Distance Education (DELTA)
Online (Internet)

Grading Method
Graded/Audit
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3
Course Attribute(s)


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

Course Is Repeatable for Credit
No
 
 
Herle McGowan
Teaching Associate Professor
Graduate Faculty

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Delivery FormatPer SemesterPer SectionMultiple Sections?Comments
LEC5050NoN/A

Prerequisites: MA 241 or equivalent (Calculus II)
Is the course required or an elective for a Curriculum?
Yes
SIS Program CodeProgram TitleRequired or Elective?
17STZMRStatistics-DistanceRequired
Course covers basic methods for summarizing and describing data, accounting for variability in data, and techniques for inference. Topics include basic exploratory data analysis, probability distributions, confidence intervals, hypothesis testing, and regression analysis. This is a calculus-based course. Statistical software is used; however, there is no lab associated with the course. Credit not given for this course and ST 511 or ST 513 or ST 515. This course does NOT count as an elective towards a degree or a minor in Statistics.

This course will serve as the first core methods course for the online Master of Statistics degree program, an option for the Applied Statistics and Data Management graduate certificate, and an option for the certificate in Data Sciences.


No

Is this a GEP Course?
GEP Categories

Humanities Open when gep_category = HUM
Each course in the Humanities category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Mathematical Sciences Open when gep_category = MATH
Each course in the Mathematial Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Natural Sciences Open when gep_category = NATSCI
Each course in the Natural Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

Social Sciences Open when gep_category = SOCSCI
Each course in the Social Sciences category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Interdisciplinary Perspectives Open when gep_category = INTERDISC
Each course in the Interdisciplinary Perspectives category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

Visual & Performing Arts Open when gep_category = VPA
Each course in the Visual and Performing Arts category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
 

 
 

Health and Exercise Studies Open when gep_category = HES
Each course in the Health and Exercise Studies category of the General Education Program will provide instruction and guidance that help students to:
 
 

 
 

 
 

 
 

 
&
 

 
 

 
 

 
 

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:
Please complete at least 2 of the following student objectives.
 
 

 
 

 
 

 
 

 
 

 
 

 
 

 
 

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.
 

No new resources needed because this course is already being taught as a Special Topics course as part of a faculty member's existing course load.

This first course in statistics for graduate students is intended to give students a background in the statistical methods that will assist them in the analysis of data. Students will learn methods for summarizing and describing data in addition to techniques for using sample data to make inferences about a larger population. This is a calculus-based course. Students will be introduced to statistical software; however, there is not a lab associated with this course.


Student Learning Outcomes

By the end of the course, students will be able to:



  • Describe fundamental principles of data collection, determine situations where errors in data collection arise, and provide basic solutions to avoid or account for possible errors in the data collection process.

  • Produce and analyze appropriate graphical and numerical summarization techniques for different types of data.

  • Properly utilize probability distributions to determine probabilities and account for variability in statistics.  

  • Make inference and/or prediction using an appropriate hypothesis test, confidence interval, and/or regression model.


Evaluation MethodWeighting/Points for EachDetails
Quizzes100 pointsThroughout the semester there will be 12 online quizzes assigned, each worth 10 points. The lowest two quiz scores will be dropped. Students will have one attempt per quiz. These online quizzes will help students insure that they have mastered the material. Each quiz will be tied to course content modules posted to the course website. Students should work through the modules before attempting these quizzes. Quizzes are presented in Moodle and are taken online. There is NO time limit on quizzes. Students may work on a quiz over multiple days and save their answers before submitting a quiz. Some questions will be multiple choice or numeric response; these will be automatically graded. Other questions will require students to upload a written response that will need to be manually graded. Quizzes will generally be due on Fridays each week; see Moodle for specific due dates. No late quizzes will be accepted, and no quizzes will be reopened for any reason.
Forum_post50 pointsStudents in the course will be broken into small groups of 3 to 5 students. These groups will answer questions and discuss course content using the online discussion board. These discussion questions will be keyed to the specific week’s material and will have specific due dates (see Moodle). Due dates are firm. Discussion postings will be graded based on quality of responses. Students are expected to treat each other with respect on the boards; postings that are disrespectful will receive a score of zero.
Multiple exams200 pointsAll exams are closed book. There will be two midterms. For the midterm exams students may use one 8 ½ X 11 page of notes (front and back).Basic calculators (such as TI-84) may be used on all exams. Students who are unable to attend an exam for a legitimate unavoidable reason may take a make-up exam only if the student provides suitable documentation of the delay and takes the make-up in a timely manner. Students may take the exams at an approved proctoring center on any of the three days listed in the course outline. The midterm exams are limited to 1.5 hours.
Final Exam150 pointsAll exams are closed book. For the cumulative final exam, students may use two 8 ½ X 11 pages of notes (front and back). Basic calculators (such as TI-84) may be used on all exams. Students who are unable to attend an exam for a legitimate unavoidable reason may take a make-up exam only if the student provides suitable documentation of the delay and takes the make-up in a timely manner. Students may take the exam at an approved proctoring center on any of the three days listed in the course outline. The final exam is limited to 3 hours.
TopicTime Devoted to Each TopicActivity
See syllabusN/AN/A
cohen 9/23/2018):
1. In CIM there are 12 online quizzes listed. In the syllabus there are 9. Please make the two consistent.
2. Are there exams other than the midterm and final? If not, please make that clear in CIM.
3. Under grading on the syllabus, please change the total to 500 points.
4. This course is a 500-level course and may not be taken for credit only. Please make that clear in the syllabus.
5. Under Late Assignments, I would suggest adding that assignments for students with unforeseen emergencies will be handled on a case-by-case basis.

mlnosbis 9/24/2018:
1) The course description on the CIM form and the syllabus should match.

ABGS Reviewer Comments 10/10/2018:
-No concerns
Key: 11609
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