STAT101-25S1 (C) Semester One 2025

Statistics 1

15 points

Details:
Start Date: Monday, 17 February 2025
End Date: Sunday, 22 June 2025
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 2 March 2025
  • Without academic penalty (including no fee refund): Sunday, 11 May 2025

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

STAT111, STAT112, DIGI103, DATA101

Equivalent Courses

STAT111, STAT112, DIGI103, DATA101

Timetable 2025

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Thursday 11:00 - 12:00 A1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Thursday 16:00 - 17:00 E9 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
03 Thursday 11:00 - 12:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
04 Thursday 16:00 - 17:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 E8 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Tuesday 12:00 - 13:00 K1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
03 Tuesday 09:00 - 10:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
04 Tuesday 12:00 - 13:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
Lecture C
Activity Day Time Location Weeks
01 Wednesday 10:00 - 11:00 A1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Wednesday 15:00 - 16:00 A1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
03 Wednesday 10:00 - 11:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
04 Wednesday 15:00 - 16:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
Lecture D
Activity Day Time Location Weeks
01 Friday 11:00 - 12:00 A1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Friday 15:00 - 16:00 A1 Lecture Theatre
17 Feb - 6 Apr
28 Apr - 1 Jun
03 Friday 11:00 - 12:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
04 Friday 15:00 - 16:00 Online Delivery
17 Feb - 6 Apr
28 Apr - 1 Jun
Tutorial A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
02 Wednesday 12:00 - 13:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
03 Monday 13:00 - 14:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
04 Tuesday 09:00 - 10:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
05 Monday 14:00 - 15:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
06 Monday 16:00 - 17:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
07 Thursday 10:00 - 11:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
08 Tuesday 11:00 - 12:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
09 Wednesday 11:00 - 12:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
10 Friday 09:00 - 10:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
11 Tuesday 15:00 - 16:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
12 Monday 09:00 - 10:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
13 Monday 11:00 - 12:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
14 Friday 13:00 - 14:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
15 Wednesday 09:00 - 10:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
16 Wednesday 14:00 - 15:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
17 Thursday 15:00 - 16:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
18 Tuesday 16:00 - 17:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
19 Wednesday 16:00 - 17:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun
20 Tuesday 10:00 - 11:00 Jack Erskine 035 Lab 2
17 Feb - 6 Apr
28 Apr - 1 Jun

Timetable Note

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

Course Coordinator

Blair Robertson

Lecturers

Cameron Bell , Mike Steel and Jennifer Brown

Assessment

Assessment Due Date Percentage 
Tutorial Attendance (Best 10 of 12 - 0.5% each) 5%
Orientation Quiz 1%
Quizzes (Best 8 x 4% each) 32%
Assignments (2 x 6%) 12%
Exam 50%


To obtain a clear pass (≥ C-), you must obtain at least 50% overall and at least 40% 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 $897.00

International fee $5,188.00

* 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 Mathematics and Statistics .

All STAT101 Occurrences