DIGI103-21S1 (C) Semester One 2021

Statistics 1

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

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

Equivalent Courses

Timetable 2021

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Monday 11:00 - 12:00 C1 Lecture Theatre
22 Feb - 4 Apr
3 May - 6 Jun
02 Monday 14:00 - 15:00 C1 Lecture Theatre
22 Feb - 4 Apr
3 May - 6 Jun
Lecture B
Activity Day Time Location Weeks
01 Tuesday 08:00 - 09:00 C1 Lecture Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
02 Tuesday 11:00 - 12:00 C1 Lecture Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture C
Activity Day Time Location Weeks
01 Thursday 08:00 - 09:00 C1 Lecture Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
02 Thursday 12:00 - 13:00 C1 Lecture Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
Lecture D
Activity Day Time Location Weeks
01 Wednesday 08:00 - 09:00 Haere-roa 118 Ngaio Marsh Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
02 Wednesday 11:00 - 12:00 Haere-roa 118 Ngaio Marsh Theatre
22 Feb - 4 Apr
26 Apr - 6 Jun
Tutorial A
Activity Day Time Location Weeks
01 Monday 08:00 - 09:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
02 Monday 08:00 - 09:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
03 Monday 09:00 - 10:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
04 Monday 09:00 - 10:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
05 Monday 10:00 - 11:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
06 Monday 10:00 - 11:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
07 Monday 11:00 - 12:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
08 Monday 11:00 - 12:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
09 Monday 12:00 - 13:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
10 Monday 12:00 - 13:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
11 Monday 13:00 - 14:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
12 Monday 13:00 - 14:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
13 Monday 14:00 - 15:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
14 Monday 14:00 - 15:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
15 Monday 15:00 - 16:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
16 Monday 15:00 - 16:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
17 Monday 16:00 - 17:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
18 Monday 16:00 - 17:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
19 Monday 17:00 - 18:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
3 May - 6 Jun
20 Monday 17:00 - 18:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
3 May - 6 Jun
21 Tuesday 08:00 - 09:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
22 Tuesday 08:00 - 09:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
23 Tuesday 09:00 - 10:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
24 Tuesday 09:00 - 10:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
25 Tuesday 10:00 - 11:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
26 Tuesday 10:00 - 11:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
27 Tuesday 11:00 - 12:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
28 Tuesday 11:00 - 12:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
29 Tuesday 12:00 - 13:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
30 Tuesday 12:00 - 13:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
31 Tuesday 13:00 - 14:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
32 Tuesday 13:00 - 14:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
33 Tuesday 14:00 - 15:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
34 Tuesday 14:00 - 15:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
35 Tuesday 15:00 - 16:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
36 Tuesday 15:00 - 16:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
37 Tuesday 16:00 - 17:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
38 Tuesday 16:00 - 17:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
39 Tuesday 17:00 - 18:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
40 Wednesday 10:00 - 11:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
41 Wednesday 10:00 - 11:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
42 Wednesday 11:00 - 12:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
43 Wednesday 11:00 - 12:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun
44 Wednesday 12:00 - 13:00 Jack Erskine 033 Lab 1
22 Feb - 4 Apr
26 Apr - 6 Jun
45 Wednesday 12:00 - 13:00 Jack Erskine 038 Lab 4
22 Feb - 4 Apr
26 Apr - 6 Jun

Timetable Note

Contact hours
24 hours of lectures, 12 hours of examples classes, 12 hours of tutorials.

Assessment

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

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