STAT101-22S1 (C) Semester One 2022

Statistics 1

15 points

Details:
Start Date: Monday, 21 February 2022
End Date: Sunday, 26 June 2022
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 6 March 2022
  • Without academic penalty (including no fee refund): Sunday, 15 May 2022

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).

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. 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

Equivalent Courses

STAT111, STAT112, DIGI103

Timetable 2022

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 12:00 - 13:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Monday 16:00 - 17:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
03 Monday 12:00 - 13:00 Online Delivery
21 Feb - 10 Apr
2 May - 5 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 12:00 - 13:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Tuesday 16:00 - 17:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
03 Tuesday 12:00 - 13:00 Online Delivery
21 Feb - 10 Apr
2 May - 5 Jun
Lecture C
Activity Day Time Location Weeks
01 Wednesday 12:00 - 13:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Wednesday 16:00 - 17:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
03 Wednesday 12:00 - 13:00 Online Delivery
21 Feb - 10 Apr
2 May - 5 Jun
Lecture D
Activity Day Time Location Weeks
01 Thursday 12:00 - 13:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
02 Thursday 16:00 - 17:00 C1 Lecture Theatre
21 Feb - 10 Apr
2 May - 5 Jun
03 Thursday 12:00 - 13:00 Online Delivery
21 Feb - 10 Apr
2 May - 5 Jun
Optional A (Optional)
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 315
7 Mar - 10 Apr
2 May - 5 Jun
02 Monday 11:00 - 12:00 Ernest Rutherford 260
7 Mar - 10 Apr
2 May - 5 Jun
03 Monday 15:00 - 16:00 Ernest Rutherford 260
7 Mar - 10 Apr
2 May - 5 Jun
04 Tuesday 10:00 - 11:00 Karl Popper 612
7 Mar - 10 Apr
2 May - 5 Jun
05 Tuesday 13:00 - 14:00 Jack Erskine 241
7 Mar - 10 Apr
2 May - 5 Jun
06 Friday 14:00 - 15:00 Psychology - Sociology 251
7 Mar - 10 Apr
2 May - 5 Jun
07 Wednesday 11:00 - 12:00 Psychology - Sociology 213
7 Mar - 10 Apr
2 May - 5 Jun
08 Wednesday 13:00 - 14:00 Psychology - Sociology 251
7 Mar - 10 Apr
2 May - 5 Jun
09 Wednesday 15:00 - 16:00 Jack Erskine 241
7 Mar - 10 Apr
2 May - 5 Jun
10 Thursday 13:00 - 14:00 Psychology - Sociology 413
7 Mar - 10 Apr
2 May - 5 Jun
11 Thursday 15:00 - 16:00 Psychology - Sociology 307
7 Mar - 10 Apr
2 May - 5 Jun
12 Friday 13:00 - 14:00 Psychology - Sociology 307
7 Mar - 10 Apr
2 May - 5 Jun
13 Monday 13:00 - 14:00 Jack Erskine 235
7 Mar - 10 Apr
2 May - 5 Jun
14 Wednesday 13:00 - 14:00 Jack Erskine 241
7 Mar - 10 Apr
2 May - 5 Jun
15 Tuesday 15:00 - 16:00 Psychology - Sociology 307
7 Mar - 10 Apr
2 May - 5 Jun
16 Wednesday 09:00 - 10:00 Psychology - Sociology 213
7 Mar - 10 Apr
2 May - 5 Jun
17 Wednesday 14:00 - 15:00 Meremere 409
7 Mar - 10 Apr
2 May - 5 Jun
18 Thursday 11:00 - 12:00 Jane Soons 602
7 Mar - 10 Apr
2 May - 5 Jun
19 Thursday 10:00 - 11:00 Jack Erskine 235
7 Mar - 10 Apr
2 May - 5 Jun

Course Coordinator

Blair Robertson

Course Administrator

Cameron Bell

Lecturers

Blair Robertson , Mike Steel , Cameron Bell and David Rodda

Assessment

Assessment Due Date Percentage 
Online Quizzes (8 x 4%) 32%
Assignment 1 9%
Assignment 2 9%
Exam 50%


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

Please see the STAT 101 Learn 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 $802.00

International fee $4,563.00

* 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