This paper provides a first course in Statistics for students in the Faculty of Science & Engineering. Microsoft Excel is used throughout. Topics include the presentation of data, elementary probability calculations, principles of experimental design, hypothesis testing and regression.
Ray Littler (email@example.com)
Michelle O'Grady, Annmaree Warrender, Matt Bird
Official Timetable Information
Students who successfully complete this course should be able to:
organise and summarise data graphically and numerically;
identify the appropriate technique to use when analysing data set within the scope of the techniques covered;
to communicate the results from the analysis by writing a short report.
In addition to the discipline-based learning objectives, the paper aims for student to develop their skills in the following:
* manipulating and analysing data using Microsoft Excel
* enhancing their problem solving ability.
Admission to the BSc, or
MATH168 Preparatory Mathematics, or
18 credits at Level 2 NCEA Mathematics, or
14 credits at Level 3 NCEA Statistics, Calculus or Mathematics.
STAT121 Introduction to Statistical Methods
STAT160 Management Statistics
Class attendance is expected. The course notes provided are not comprehensive, additional material will be covered in class.
Students should expect to spend a minimum of about 10 hours per week on this paper. This includes the four lecture hours and the one tutorial hour.
Students are required to hand in internal assessment items by the required deadlines. Tutorial work handed in after the Friday 11am deadline will not be marked.
Extensions will normally only be given in the case of illness, family bereavement or serious personal circumstances.
A labelled box will be placed outside the Statistics Office (G.2.18) (2nd floor G Block). Please ensure your name, student ID number and the day/time of your tutorial are clearly marked on your work. Tutorial work for the previous week will be handed back in the following week's tutorial. Exercises that are not picked up in class can be collected from the Statistics Office, G.2.18.
Marked tests may be picked up between 1pm and 5pm at the FCMS reception on the ground floor of the FG link building. The expected turnaround time for tests is one week. Please note that assessment items not collected from the reception after four weeks will be put into storage, and you will need to give a week's notice to retrieve them (email: firstname.lastname@example.org.
The assessment is comprised of two components; your internal work and your final exam. The internal work : final exam ratio will be (1/2):(1/2). However you must achieve at least 40% in both internal work and final exam to achieve a clear pass.
Internal assessment/final examination ratio 1:1
The internal assessment for this paper will consist of:
Two tests - 30% each
Tutorial assessment - 40%
Test 1: Thursday 21 August 2014
Test 2: Thursday 16 October 2014.
There will be a total of 10 tutorials. Tutorials are marked on a scale of 0-10. Up to 3 marks may be assigned according to how much of the tutorial preparation work you have done before coming to class. Tutorial exercises will be available on a Thursday, and will be due the following week on a Friday at 11am.
All tutorial work should be completed and handed in for marking by Friday 11.00am in the week that it is due.
Students are encouraged to purchase the course notes booklet which is available from Campus Print.
Recommended Text: Modern Statistics: A Graphical Introduction by Don McNeil. 2006.
Elementary Statistics Using Excel by Mario Triola.
The lecture notes booklet is available for purchase from Waikato Print. The booklet also contains practical exercises. The 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.
All other material for this paper i.e. tutorial exercises and suggested answers to the practical exercises can be accessed by logging onto 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.
The "Overall Satisfaction with the Quality of this Paper" item in the 2013 student appraisal for STAT111 was 2.1 on a scale from 1 to 5. This was based on 44 responses from the 165 students enrolled, a response rate of 27%. We have retained aspects of the course that students liked - the Panopto lecture recordings, the large number of tutorial sessions and allowing a few pages of handwritten notes to be taken into the tests and exam. Students tended to dislike multiple choice questions in the tests and exam and wanted more examples, which we have taken into consideration. We take student appraisal information seriously and hope you will consider giving us constructive feedback on what you like and dislike at the end of the course.
The class noticeboard for this paper is located in the corridor outside the Statistics office (G.2.18). Any notices for this paper will be posted there or on Moodle. The internal assessment marks listed by student ID number, will be posted on the noticeboard.
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Student Concerns and Complaints
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