STAT101-21S2 (C) Semester Two 2021

Statistics 1

15 points

Details:
Start Date: Monday, 19 July 2021
End Date: Sunday, 14 November 2021
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 1 August 2021
  • Without academic penalty (including no fee refund): Friday, 1 October 2021

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 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 08:00 - 09:00 A1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Monday 14:00 - 15:00 C1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
Lecture B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 10:00 A1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Tuesday 12:00 - 13:00 C1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
Lecture C
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 A1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Wednesday 12:00 - 13:00 C1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
Lecture D
Activity Day Time Location Weeks
01 Friday 08:00 - 09:00 A1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Friday 12:00 - 13:00 C1 Lecture Theatre
19 Jul - 29 Aug
13 Sep - 24 Oct
Tutorial A
Activity Day Time Location Weeks
01 Monday 10:00 - 11:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
02 Monday 11:00 - 12:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
03 Monday 12:00 - 13:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
04 Monday 13:00 - 14:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
05 Monday 14:00 - 15:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
06 Monday 15:00 - 16:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
07 Monday 16:00 - 17:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
08 Monday 17:00 - 18:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
09 Tuesday 09:00 - 10:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
10 Tuesday 10:00 - 11:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
11 Tuesday 11:00 - 12:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
12 Tuesday 12:00 - 13:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
13 Tuesday 13:00 - 14:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
14 Tuesday 14:00 - 15:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
15 Tuesday 15:00 - 16:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
16 Tuesday 16:00 - 17:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct
17 Tuesday 17:00 - 18:00 Jack Erskine 035 Lab 2
19 Jul - 29 Aug
13 Sep - 24 Oct

Course Coordinator / Lecturer

Blair Robertson

Course Administrator

Cameron Bell

Lecturers

James Bartlett , Cameron Bell , Jennifer Brown and Mike Steel

Assessment

Assessment Due Date Percentage 
Tutorial engagment 10%
Homework Quizzes (8) 24%
Assignment 1 8%
Assignment 2 8%
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 $788.00

International fee $4,438.00

* 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