STATS111-19T (HAM)

Statistics for Science

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)

Paul Brown

Paul Brown
5279
G.3.30
To be advised
paul.brown@waikato.ac.nz

Lecturer(s)

Paul Brown

Paul Brown
5279
G.3.30
To be advised
paul.brown@waikato.ac.nz

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

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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This paper provides a first course in Statistics. Topics include the presentation of data, elementary probability calculations, principles of experimental design, estimation, hypothesis testing and regression. This paper is specifically designed for students in the Faculty of Science & Engineering and therefore, uses Microsoft Excel for data analysis.
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Paper Structure

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Contact Hours: Three lectures and one tutorial each week.

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Learning Outcomes

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Students who successfully complete the course should be able to:

  • Learning Outcomes

    Students who successfully complete this paper should be able to:

    • organise and summarise data graphically and numerically
    • identify the appropriate technique to use when analysing data within the scope of the techniques covered
    • communicate the results from the analysis by writing a short report.
    Linked to the following assessments:
  • Generic Skills

    In addition to the discipline-based learning objectives, the paper aims for students to develop their skills in the following:

    • manipulating and analysing data using Microsoft Excel
    • enhancing their problem solving ability
    Linked to the following assessments:
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Assessment

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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. Weekly Assignment/Tutorial
50
  • Hand-in: Assignment Box
2. Test
18 Dec 2019
No set time
50
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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Mind on Statistics by Utts & Heckard

Modern Statistics; a graphical introduction By Don McNeil

Elementary Statistics Using Excel by Mario Triola

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Other Resources

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Paper Resources:

The course notes booklet will be available online, and for purchase from Waikato Print. The booklet also contains practical exercises. This booklet is an integral component of the paper and it is highly recommended that students purchase it. Note that additional material may also be covered in class.
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Online Support

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Some material for this paper i.e. tutorial exercises and suggested answers to the practical exercises can be accessed by logging on to Moodle. (http://elearn.waikato.ac.nz/). Tutorial exercises plus the relevant data sets will also be available on the R block Lab server in the 111 Folder.
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Workload

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Students should expect to spend about 15-20 hours per week on this paper. This includes the six lecture hours and the two-hour tutorial mentioned above.

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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: Admission to the BSc; or MATH168, or MATHS168; or 18 credits at Level 2 in NCEA Mathematics; or 14 credits at Level 3 in Statistics, Calculus or Mathematics.

Corequisite(s)

Equivalent(s)

Restriction(s)

Restricted papers: STAT111, STAT121, STAT160 and STATS121

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