Course

Statistical Analysis


Course code 72160

This online course is an introduction to statistical methods, which are useful for the study of business, psychology, library studies, the environment and other areas.

You will become aware of the possibilities and limitations of various methods of collecting and analysing data and be introduced to key statistical concepts within exploratory data analysis and statistical inference.  

You will learn how to use statistical software to obtain appropriate outputs and how to clearly communicate their findings. 

For more information watch the course introduction video below.

How to enrol

Before enrolling in this course you need to:

  • Choose the qualification you will study the course under. See the Work towards tab below for qualification options.
  • Check the order that courses in the qualification should be studied in the Qualification Structure table. This is in the Choose courses tab on the qualification page.
  • Level 5  
    Credits 20 
  • Study type Trimester  
    EFTS 0.1667  
  • Availability
    2019 :  
    Trimester 1 enrol by 12 Feb 2019 to start 25 Feb 2019
    Trimester 2 enrol by 23 Jun 2019 to start 1 Jul 2019
    Trimester 3 enrol by 20 Oct 2019 to start 28 Oct 2019
  • Delivery type
    2019 :  
    Trimester 1, 2 & 3 2019 Online only
  • Workload

    Allow approximately 10-12 hours study time per week for each 20 credit course. This may be higher around assessment due dates or exam time.

  • Fees
    2019 :  
    NZ students $730 + $60 annual administration fee
    International students $2,254 + $60 annual administration fee
  • Prerequisites Check entry and other requirements under the qualification you are studying  

Students who successfully complete this course will be able to

  • Use appropriate methods of sampling and describe suitable methods of collecting data.
  • Generate appropriate graphs and descriptive statistics and use these to describe features of various datasets.  
  • Find probabilities from various probability distributions.
  • Explore sampling distributions and use appropriate and valid tests of significance and confidence intervals for means and proportions.
  • Undertake linear regression analysis, and interpret the results.
  • Clearly communicate the results of data analysis.

Assessment

This course is 100% internally assessed

Other requirements

Your course is delivered 100% online. To complete this course you will need access to a computer or device, broadband internet and a data plan able to support online learning such as streaming of videos (including YouTube), downloading content and submitting online assessments. If you are unsure if your current computer/device or internet access allows you to complete your online learning with us, please contact us before applying to enrol. 

Lecturer / Tutor