STATS221-22A (HAM)

Statistical Data Analysis

15 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)

: maria.admiraal@waikato.ac.nz
: buddhika.subasinghe@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: alistair.lamb@waikato.ac.nz

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.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • 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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STATS221 extends the data collection and analysis techniques introduced in first year statistics courses. It is the gateway paper in the progression of statistical data analysis through to third year level. Students who pass this course will be prepared to cope with standard statistical problems encountered in many fields of research or practice.

The application of statistics is the primary focus of this course. The core topics this paper focuses on are hypothesis testing, ANOVA and regression models. Students will be taught to use the statistical software R to perform useful analyses, interpret the output and convey the results of such analyses. No prior experience with R is assumed.

The paper will be taught by Chaitanya Joshi. Han Gan will serve as a back-up lecturer if needed.

The learning outcomes for this paper are linked to Washington Accord graduate attributes WA1-WA11. Explanation of the graduate attributes can be found at: https://www.ieagreements.org/

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Paper Structure

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Based on encouraging student feedback received for online lectures last year and because of the current Omicron outbreak the paper will be run as follows:

  • The lectures will be online-ONLY, at least, until the restrictions ease and it is considered safe to hold lectures in-person.
  • ** At this stage we hope to run in-person lectures in the second half of the paper (after the Easter break). **
  • In any case, all the lectures and lecture material will be available online.
  • However, starting Week 1, the workshop/drop-in help session will be run in-person (in a large lecture hall where social distancing will be practiced). It is highly recommended that students attend the workshop in-person for better learning outcomes.

The workshop will consist of working on problems/questions that will provide a better understanding of the topics taught in the online lectures. These sessions will also double as drop-in help sessions where the students can get in-person help on any questions/queries they may have, including those about using R.

There are no supervised lab sessions for this paper. However, a computer lab in R-block will be reserved for use for STATS221 students to work on assignments throughout the trimester. The lab is reserved so that students can have access to a computer with R installed on it, for learning and working on the assignment problems etc. However, R is a free and open-source software and we recommend students to install it on their personal computers, if they have. Those with personal computers will not need to use the labs at all.

In the unfortunate event of New Zealand moving to higher levels of Covid-19, we are prepared and ready to move this course fully online. The lecturers will notify students of any changes through Moodle

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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Analyse data using R (WA5)
    Linked to the following assessments:
  • Identify appropriate techniques to use when analysing data, within the scope of techniques covered (WA2)
    Linked to the following assessments:
  • Communicate the results of analyses by writing short reports (WA9)
    Linked to the following assessments:
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Assessment

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The pass mark is 50% overall AND at least 40% each in internal assessments and the exam. Test 1, Test 2 and Exam are compulsary items of assessment.

Note: If you are enrolled on a BE(Hons), samples of your work may be required as part of the Engineering New Zealand accreditation process for BE(Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz), to opt out.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 50:50. There is no final exam. The final exam makes up 50% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 50:50 or 0:0, whichever is more favourable for the student. The final exam makes up either 50% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Assignment 1
25 Mar 2022
2:00 PM
10
2. Assignment 2
8 Apr 2022
2:00 PM
10
3. Test 1
13 Apr 2022
2:00 PM
20
  • Hand-in: In Lecture
4. Assignment 3
20 May 2022
2:00 PM
10
5. Assignment 4
3 Jun 2022
2:00 PM
10
6. Test 2
8 Jun 2022
2:00 PM
20
  • Hand-in: In Lecture
7. Exam
20
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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Recommended Readings

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Introduction to the Practice of Statistics 7th Edition (with CD containing chapters 16-17) David Moore, George McCabe and Bruce Craig (on course reserve in the Library).
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Other Resources

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Students are welcome to download the software packages R and R-Studio on their personal computers, and it is free. Also, Microsoft Office 365 is freely available to all students enrolled at the University of Waikato, and we encourage you to download it.

R can be downloaded at the following link: https://cran.r-project.org/

The free version of R-Studio can be downloaded from: https://rstudio.com/products/rstudio/download/

Instructions to freely download Microsoft Office 365 can be found at: https://www.waikato.ac.nz/ict-self-help/guides/free-microsoft-office-suite-download

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Online Support

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Copies of slides will be available after the lectures from the STATS221 page on Moodle (http://elearn.waikato.ac.nz). You can print any notes you require from the computer laboratory. Assignments will also be uploaded to Moodle. We will record lectures using the Panopto system, which are then uploaded to Moodle in the form of Moodle Lessons.
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Workload

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We expect students to spend around 10 hours per week on this paper, including the 3 hours of lecture content and 1 hour of workshops.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: STATS111 or STATS121; or minimum B grade in ENGEN102, or B- or higher in CSMAX101, or with the permission of the Chairperson of Department.

Corequisite(s)

Equivalent(s)

Restriction(s)

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