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Viewing: ST 405/ST 505 : Applied Nonparametric Statistics

Last approved: Sat, 13 May 2017 08:01:44 GMT

Last edit: Sat, 13 May 2017 08:01:44 GMT

Catalog Pages referencing this course
Change Type
Major
ST (Statistics)
405
020247
Dual-Level Course
Yes
505
Cross-listed Course
No
Applied Nonparametric Statistics
Applied Nonpar. Statistics
College of Sciences
Statistics (17ST)
Term Offering
Fall Only
Offered Every Year
Spring 2016
Previously taught as Special Topics?
No
 
Course Delivery
Face-to-Face (On Campus)
Distance Education (DELTA)
Online (Internet)

Grading Method
Graded with S/U option
3
16
Contact Hours
(Per Week)
Component TypeContact Hours
Lecture3.0
Course Attribute(s)


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

Course Is Repeatable for Credit
No
 
 
Wenbin Lu
Professor
Full

Open when course_delivery = campus OR course_delivery = blended OR course_delivery = flip
Enrollment ComponentPer SemesterPer SectionMultiple Sections?Comments
Lecture2525NoWe expect up to 10 undergraduates in the piggyback ST 405, with a total of 25 in the combined courses (405 + 505).
Open when course_delivery = distance OR course_delivery = online OR course_delivery = remote
Delivery FormatPer SemesterPer SectionMultiple Sections?Comments
LEC1010Nograduate version online
Prerequisite: (ST 422 and ST 430) or ST 511 or equivalent
Is the course required or an elective for a Curriculum?
No
Statistical methods requiring relatively mild assumptions about the form of the population distribution. Classical nonparametric hypothesis testing methods, Spearman and Kendall correlation coefficients, permutation tests, bootstrap methods, and nonparametric regressions will be covered.

ST 505 has been taught for many years and almost always has advanced undergraduates in the course. As we are significantly expanding the number of dual level courses in the department, we are creating a dual-level version of this course. In addition to the students it has always attracted, by having a course that better accommodates our undergraduates we will be able to attract and service a larger number of our undergraduate majors.


No

Is this a GEP Course?
No
GEP Categories

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Social Sciences Open when gep_category = SOCSCI
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Interdisciplinary Perspectives Open when gep_category = INTERDISC
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Visual & Performing Arts Open when gep_category = VPA
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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:
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 will be required because this course has been regularly taught every year for many years.

Students will gain a competency in the basic theory and methods of rank and permutation statistics.  They will learn when to use these distribution-free methods instead of methods associated with normal distributions.  Students will be able to use SAS or R to carry out the analyses.


Student Learning Outcomes

Upon completion of this course students will be able to:


1. Decide when to use rank and permutation methods in place of standard t-tests and ANOVA.

2. For each of the following procedures, evaluate them for suitability, implement them with computer software, and interpret results.

i) Binomial test

ii) Wilcoxon signed rank test

iii) Two-sample permutation test

iv) Wilcoxon rank-sum test


v) Confidence Interval and Hodges-Lehmann Estimate


vi) Tests for Equality of Scales


vii) Permuation F-test and Kruskal-Wallis test


viii) Multiple comparisons


ix) Tests for ordered alternatives


x) Paired comparisons


xi) Permutation test for RCB design


xii) Friedman test, Cochran's Q test, Kendall test and Page test


xiii) Spearman rank correlation and Kendall's tau


xiv) Chi-square test for association and Fisher's exam test


xv) Bootstrap methods: confidence interval and hypothesis testing


xvi) Nonparametric density estimation and regression: smoothing and kernel methods


ST 505 Only: Demonstrate the ability to work with more theoretical aspects of selected topics via derivations, proofs, or other more advanced statistical techniques


Evaluation MethodWeighting/Points for EachDetails
Homework30%ST 505 will have additional questions.
Midterm20%ST 505 will have additional questions.
Midterm20%ST 505 will have additional questions.
Final Exam30%ST 505 will have additional questions.
TopicTime Devoted to Each TopicActivity
One-sample Z-test and t-test Central limit theorem and large sample Z-test1 week
Introduction to R, Binomial test, Wilcoxon signed rank test1 week
Two-sample permutation test, Wilcoxon rank-sum test, Confidence Interval and Hodges-Lehmann Estimate, Tests for Equality of Scales3 weeks
Permuation F-test Kruskal-Wallis test Multiple comparisons Tests for ordered alternatives3 weeks
Paired comparisons Permutation test for RCB design Friedman test, Cochran's Q test, Kendall test and Page test2 weeks
Spearman rank correlation and Kendall's tau Chi-square test for association and Fisher's exam test1 week
Bootstrap methods: confidence interval and hypothesis testing2 weeks
Nonparametric density estimation and regression: smoothing and kernel methods2 weeks
Final exam1 week
405 and 505 will differ in the following way. 505 will have an additional learning outcome: Demonstrate the ability to work with more theoretical aspects of selected topics via derivations, proofs, or other more advanced statistical techniques. 505 students will have additional HW and Exam questions to evaluate this learning outcome.

mlnosbis 1/5/2017: Note that the grading basis in CIM says Graded with S/U option. Since this is a dual-level course, that is the correct grading method in CIM. Undergraduates have to be able to take as S/U, but graduate students will not be able to take this for S/U and it will be available for graduate student audit.

ABGS Reviewer Comments:
-No comments/concerns.
mlnosbis (Fri, 05 Feb 2016 21:16:01 GMT): Rollback: Taken out of the workflow upon request by Dennis Boos.
allloyd (Mon, 21 Nov 2016 15:34:37 GMT): Passed college committee: 11/11/16
Key: 5096