STATS525-19C (HAM)

Topics in Statistics

30 Points

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Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences
Department of Mathematics and Statistics

Staff

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Convenor(s)

Lecturer(s)

Administrator(s)

:
: rachael.foote@waikato.ac.nz

Placement Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: debby.dada@waikato.ac.nz
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You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
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    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This paper is specially designed so that post graduate students can be taught the advanced/specialised topics in Statistics that they may need for their post graduate research/studies. The list of topics is flexible to incorporate student needs as well as the topics of interest to the lecturer.

STATS525-19C has been specifically designed for PhD students in Psychology to provide the statistical knowledge that they may need for their research. Since these students have little previous exposure to statistics, they will attend the STATS221-19A lectures to acquaint themselves with the basics of statistical analysis. In addition, they will attend lectures for STATS525 which will be focused on Statistical inference discussing Bayesian vs. Frequentist methods for estimation and hypothesis testing.

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Paper Structure

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Taught through lectures.
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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Analyse data using R.
    Linked to the following assessments:
  • Identify appropriate techniques to use when analysing data, within the scope of techniques covered.
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  • Communicate the results of analyses by writing short reports.
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  • Understand estimation and hypothesis testing from the Bayesian point of view.
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  • Understand estimation and hypothesis testing from the frequentist point of view.
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  • Compare and contrast the Bayesian and the frequentist approaches.
    Linked to the following assessments:
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Assessment

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Students are to take ALL the internal assessments for STATS221-19A including assignments and both the tests. Student need not sit the STATS221-19A exam. In addition, the students will be asked to work on an individual project (topic to be decided at a later date) to demonstrate their understanding of the statistical concepts and tools learned in this paper and their application to Psychology. The project may involve in-class presentation.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam. The final exam makes up 0% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 100:0 or 0:0, whichever is more favourable for the student. The final exam makes up either 0% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. STATS221-19A Internal Assessment
31 May 2019
No set time
70
2. Individual Project
14 Jun 2019
No set time
30
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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Students should check the STATS221-19A paper outline for any requuired or recommended readings for that paper.
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Recommended Readings

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Bayesian Statistics for the Social Sciences (Methodology in the Social Sciences),1st Edition by David Kaplan (E-book available in library)

Bayesian Psychometric Modeling (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences),1st Edition by Levy and Mislevy (E-book available in library)
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Online Support

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Please visit the STATS221-19A moodle page to follow the STATS221 paper.

In addtion, STATS525-19C moodle page may also be used.

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Workload

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We expect students to spend around 10 hours per week on the STATS221 component of this paper, including the 3 hours of lectures and 2 hours of work in the computer lab. For the six weeks that additional material is being taught, we expect the students to spend an additional 10 hours/week on this paper.
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Linkages to Other Papers

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Prerequisite(s)

Admission is at the discretion of the Chairperson of Department.

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: STAT425, STAT525

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