DIGI103-24S2 (C) Semester Two 2024

Statistics 1

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

An introduction to the ideas, techniques and applications of statistics and probability.

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, probability, statistical distributions, estimation and 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 an additional 30 hours of study, revision and exam preparation. If you do this, records show you are most likely to pass the course.

Learning Outcomes

  • Students that complete STAT101 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.

Restrictions

Equivalent Courses

Timetable 2024

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Tuesday 10:00 - 11:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Tuesday 15:00 - 16:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Tuesday 10:00 - 11:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Tuesday 15:00 - 16:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture B
Activity Day Time Location Weeks
01 Wednesday 11:00 - 12:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Wednesday 15:00 - 16:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Wednesday 11:00 - 12:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Wednesday 15:00 - 16:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture C
Activity Day Time Location Weeks
01 Thursday 11:00 - 12:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Thursday 15:00 - 16:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Thursday 11:00 - 12:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Thursday 15:00 - 16:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
Lecture D
Activity Day Time Location Weeks
01 Friday 09:00 - 10:00 A1 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Friday 12:00 - 13:00 E8 Lecture Theatre
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Friday 09:00 - 10:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Friday 12:00 - 13:00 Online Delivery
15 Jul - 25 Aug
9 Sep - 20 Oct
Tutorial A
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
02 Monday 15:00 - 16:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
03 Monday 14:00 - 15:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
04 Tuesday 16:00 - 17:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
05 Thursday 12:00 - 13:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
06 Monday 13:00 - 14:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
07 Monday 11:00 - 12:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
08 Wednesday 10:00 - 11:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
09 Tuesday 11:00 - 12:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
10 Wednesday 16:00 - 17:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
11 Monday 10:00 - 11:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
12 Tuesday 14:00 - 15:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
13 Tuesday 13:00 - 14:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
14 Monday 16:00 - 17:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
15 Monday 12:00 - 13:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
16 Tuesday 12:00 - 13:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
17 Wednesday 09:00 - 10:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct
18 Wednesday 12:00 - 13:00 Jack Erskine 035 Lab 2
15 Jul - 25 Aug
9 Sep - 20 Oct

Timetable Note

Contact hours
48 hours of lectures, 12 hours of tutorials.

PALS S is an optional activity.

Course Coordinator

Blair Robertson

Course Administrator

Cameron Bell

Lecturers

David Rodda and Mike Steel

Assessment

To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least 50% in the final examination.

Please see the STAT101 home page for the Course Outline to provide further details of the assessment.

Textbooks / Resources

Required Texts

Lock, Robin H. et al; Statistics : unlocking the power of data ; Second edition; Wiley, 2017 (The enhanced e-version contains many useful resources including video solutions to practice exercises, solutions to exercises with complete working and video tutorials for each section’s learning objectives).

Indicative Fees

Domestic fee $847.00

International fee $4,988.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Humanities .

All DIGI103 Occurrences