DATA401-21S1 (D) Semester One 2021 (Distance)

# Statistics

15 points

Details:
 Start Date: Monday, 22 February 2021 End Date: Sunday, 27 June 2021
Withdrawal Dates
Last Day to withdraw from this course:
• Without financial penalty (full fee refund): Sunday, 7 March 2021
• Without academic penalty (including no fee refund): Friday, 14 May 2021

## Description

This course covers the development of statistical concepts and their application to complex systems.

This occurrence of the course is for approved online students only. On-campus students should enrol in the (C) occurrence of this course.

An introduction to the ideas, techniques and applications of statistics and probability. The emphasis is on applying statistics to problems, selecting sensible techniques, following the methodology and interpreting the results. Understanding the concepts and computer-based solutions are emphasised and applications to commerce, the social sciences, the humanities, science and engineering are considered. Particular topics include data analysis, summary statistics, estimation, boot-strapping, statistical distributions, inference (including confidence intervals, hypothesis tests and modelling) and probability.
As this is a 15 point course students should expect to spend about 150 hours on the course (NZQA guidelines), which comes to 10 hours per week for a 12 week semester on average and additional 30 hours for revision and Exam prep. If you do this, records show you are most likely to pass the course.

## Learning Outcomes

• Students that complete DATA401-21S1 (D) should leave the course with:
• A solid conceptual understanding of key statistical concepts and techniques.
• The ability and confidence to perform a basic statistical analyses with data, including summarizing data, visualising data and making statistical inferences.
• Experience using technology to perform statistical procedures.
• An understanding of the importance of data collection and its role in determining the scope of a statistical inference.
• The knowledge of which statistical methods to use in which situations and how to interpret their results in context.
• A solid statistical foundation for further study in statistics.

## Prerequisites

Subject to approval of the Head of School

## Course Coordinator

For further information see Mathematics and Statistics Head of Department

## Assessment

Online Quizzes (8 x 2%) 16%
Assignments (3 x 8%) 24%
Exam 60%