Return to course offering list for 161.120

161.120 Introductory Statistics (15 credits)

Applied statistics emphasising applications in the sciences and social sciences. Use of graphs and numbers to summarise and interpret data; data collection with surveys and experiments; elementary probability and sampling distributions to describe variability; inference for means, proportions, contingency tables and regression.

Details Details

  • Year: 2019
  • Mode: Internal
  • Semester: Semester One full semester
  • Location: Manawatu Campus
  • Coordinator: Dr Katharina Parry
  • Subject: Statistics
  • College: College of Sciences

Online component Details

  • Online component: Partially Taught Online - As part of the course is taught online, Broadband access is required. In addition to accessing the Course Guide, students will be required to access core and supplementary digital study resources, contribute to discussion fora and complete online activities and assessment tasks. Core study resources that can be published in print will be supplied to the students who request them. Learn more about Stream, our online learning environment.

Requirements Requirements help

Special notes

  • Students will need to use approved statistical software for analysis of data. A reasonably fast internet connection is also required for sitting online tests. All students must have a good grounding in basic maths. Not sure? Try our basic numeracy quiz http://www.mymassey.com/MathsFirst

Expected prior learningRequirements help

  • Students should have a good grounding in basic maths. It is strongly recommended that students have achieved a total of at least 20 credits from NCEA Mathematics and Statistics at Level 2. A self-test quiz is available here.

Dates

  • Start Date: Monday 25 February, 2019
  • End date: Sunday 23 June, 2019

Withdrawal dates Requirements help

The last day to withdraw from this course:

  • Without financial penalty: Saturday 9 March, 2019
  • Without academic penalty: Sunday 26 May, 2019

Fees


Course fees for 2019

  • Domestic Students: NZD $744.66 *
  • International Students NZD $3,220.00 *

* This fee information is for estimation purposes only and includes New Zealand Goods and Services Tax. Actual fees payable will be finalised on confirmation of enrolment. The estimate does not include non-tuition fees. To view an estimate showing both tuition and non-tuition fees use the Fees Calculator. These fees only apply to 2019 enrolments. Domestic students may be eligible for free fees in their first year.

Learning outcomes Details

Students who successfully complete this course should be able to:

  1. Choose graphical and numerical summaries of a batch of values and use them to answer questions about variability in the data.
  2. Summarise the relationship between two numerical or categorical variables.
  3. Critically examine data collected by others and the conclusions that they draw.
  4. Effectively present the information that you extract from data to others.
  5. Collect data with surveys and experiments to help answer real-life questions.
  6. Use distributions and sampling to model variability in data.
  7. Estimate population characteristics with confidence intervals. These characteristics include means, proportions, differences between means, differences between proportions, regression slopes and predictions from regression lines.
  8. Use hypothesis tests to assess whether there are differences between groups or relationships between variables.

Please note: Learning Outcomes are subject to change until the beginning of the semester in which the course is delivered.

Learning experience

This course requires practical data analysis using a statistical computer program. Basic statistical concepts from Years 12 and 13 are covered in the first few weeks. We then progress quickly to new concepts. Distance students will need to install statistical software on a computer and work independently, interacting with teaching staff through the Stream environment. Internal students will have access to software in University computer laboratories. They should also attend lectures and tutorials and interact with teaching staff through the Stream environment. You need to engage with the learning from the beginning of the semester in order to be successful.

Assessments Details

During this course, the following assessments will contribute to your final mark.


Assessment Learning outcomes assessed Weighting
1 Test 1 2.0%
2 Test 2 2.0%
3 Test 6 2.0%
4 Written Assignment 1,2,4,5 12.0%
5 Written Assignment 3,4,6,7,8 12.0%
6 Written Assignment 4,6,7,8 12.0%
7 Exam (centrally scheduled) 1,2,3,4,6,7,8 58.0%

Please note: Assessment weightings are subject to change until the beginning of the semester in which the course is delivered.

* Specific dates for assessments will be finalised in information provided on Stream at the start of the Course.

Completion requirements

To pass, students must achieve a minimum of 30% in the Final Exam.

Textbooks

It is recommended that textbooks are purchased no sooner than 7 weeks prior to the semester start date as textbooks can be subject to change.

Recommended
  • Introduction To Statistics
    Author: Stephan Hayward
    ISBN: 9780994802156
    Edition: 2nd
    Publisher: TOPHAT

Bennetts Bookshop stocks textbooks and legislation. Current second-hand textbooks are also bought and sold. For more information visit Bennett's Online Books

Class timetable

The class timetable displays all available class times for this offering. Once you have enrolled in a course, you can access the student portal and select which of these class times you wish to attend.

Requirement(s): Each student should take 3 hour(s) of Lecture(s) and 1 hour(s) of Tutorial(s) per week.


Lecture (All students)
Tuesday 10:00 - 11:00
Tuesday 10:00 - 11:00
Wednesday 08:00 - 09:00
Wednesday 08:00 - 09:00
Thursday 08:00 - 09:00
Thursday 08:00 - 09:00

Tutorial (Tutorial 1)
Friday 15:00 - 16:00

Tutorial (Tutorial 2)
Tuesday 17:00 - 18:00

Tutorial (Tutorial 3)
Friday 12:00 - 13:00

More information...

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