STAT101-18S2 (C) Semester Two 2018

Statistics 1

15 points, 0.1250 EFTS
16 Jul 2018 - 18 Nov 2018

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).

All materials and organisational details will be available through Learn.  

STAT101 has 34% of assessment allocated to supervised computer-based skills tests and on-line learning modules available in Learn. Weekly participation is monitored using Learn and the skills tests are based on the on-line tutorial questions.
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 will be able to:

  • understand a range of basic statistical concepts in
       - data analysis: uncertainty, variation, summary statistics;
       - probability: meaning of probability, sets, events and distributions;
       - estimation: samples, populations, parameters, estimates and uncertainty;
       - inference: hypotheses, tests, test statistics, test interpretations.

  • perform and interpret a range of basic statistical procedures in
       - data analysis: summary statistics and graphics;
       - probability: calculations and identification/application of distributions;
       - estimation: estimation of parameters and confidence intervals;
       - inference: hypothesis tests and model building.

  • use Excel in performing statistical calculations and producing diagrams;
  • identify applications of statistics in other university subjects.
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

Restrictions

STAT111, STAT112, DIGI103

Equivalent Courses

STAT111, STAT112, DIGI103

Timetable 2018

Students must attend one activity from each section.

Lecture A
Activity Day Time Location Weeks
01 Wednesday 09:00 - 10:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
02 Wednesday 14:00 - 15:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
Lecture B
Activity Day Time Location Weeks
01 Thursday 09:00 - 10:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
02 Thursday 14:00 - 15:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
Lecture C
Activity Day Time Location Weeks
01 Friday 09:00 - 10:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
02 Friday 13:00 - 14:00 C1 Lecture Theatre 16 Jul - 26 Aug
10 Sep - 21 Oct
Tutorial A
Activity Day Time Location Weeks
02 Monday 09:00 - 10:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
03 Monday 10:00 - 11:00 Jack Erskine 033 Lab 1 (16/7-20/8, 10/9-15/10)
Jack Erskine 035 Lab 2 (16/7-20/8, 10/9-15/10)
Jack Erskine 038 Lab 4 (16/7-20/8, 10/9-15/10)
16 Jul - 26 Aug
10 Sep - 21 Oct
04 Monday 11:00 - 12:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
05 Monday 12:00 - 13:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
06 Monday 13:00 - 14:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
07 Monday 14:00 - 15:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
08 Monday 15:00 - 16:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
10 Tuesday 09:00 - 10:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
11 Tuesday 10:00 - 11:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
12 Tuesday 11:00 - 12:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
13 Tuesday 12:00 - 13:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
14 Tuesday 13:00 - 14:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
15 Tuesday 14:00 - 15:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct
16 Tuesday 15:00 - 16:00 Jack Erskine 035 Lab 2 16 Jul - 26 Aug
10 Sep - 21 Oct

Examination and Formal Tests

Test A
Activity Day Time Location Weeks
01 Wednesday 10:00 - 10:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
02 Wednesday 10:30 - 11:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
03 Wednesday 11:00 - 11:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
04 Wednesday 11:30 - 12:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
05 Wednesday 12:00 - 12:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
06 Wednesday 12:30 - 13:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
07 Wednesday 13:00 - 13:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
08 Wednesday 13:30 - 14:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
09 Wednesday 14:00 - 14:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
10 Wednesday 14:30 - 15:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
11 Thursday 09:00 - 09:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
12 Thursday 09:30 - 10:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
13 Thursday 10:00 - 10:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
14 Thursday 12:00 - 12:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
15 Thursday 12:30 - 13:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
16 Thursday 13:00 - 13:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
17 Thursday 13:30 - 14:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
18 Thursday 14:00 - 14:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
19 Thursday 14:30 - 15:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
20 Thursday 15:00 - 15:30 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
21 Thursday 15:30 - 16:00 Jack Erskine 035 Lab 2 13 Aug - 19 Aug
Test B
Activity Day Time Location Weeks
01 Wednesday 10:00 - 10:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
02 Wednesday 10:30 - 11:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
03 Wednesday 11:00 - 11:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
04 Wednesday 11:30 - 12:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
05 Wednesday 12:00 - 12:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
06 Wednesday 12:30 - 13:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
07 Wednesday 13:00 - 13:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
08 Wednesday 13:30 - 14:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
09 Wednesday 14:00 - 14:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
10 Wednesday 14:30 - 15:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
11 Thursday 09:00 - 09:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
12 Thursday 09:30 - 10:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
13 Thursday 10:00 - 10:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
14 Thursday 12:00 - 12:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
15 Thursday 12:30 - 13:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
16 Thursday 13:00 - 13:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
17 Thursday 13:30 - 14:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
18 Thursday 14:00 - 14:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
19 Thursday 14:30 - 15:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
20 Thursday 15:00 - 15:30 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
21 Thursday 15:30 - 16:00 Jack Erskine 035 Lab 2 24 Sep - 30 Sep
Test C
Activity Day Time Location Weeks
01 Wednesday 10:00 - 10:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
02 Wednesday 10:30 - 11:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
03 Wednesday 11:00 - 11:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
04 Wednesday 11:30 - 12:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
05 Wednesday 12:00 - 12:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
06 Wednesday 12:30 - 13:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
07 Wednesday 13:00 - 13:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
08 Wednesday 13:30 - 14:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
09 Wednesday 14:00 - 14:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
10 Wednesday 14:30 - 15:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
11 Thursday 09:00 - 09:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
12 Thursday 09:30 - 10:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
13 Thursday 10:00 - 10:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
14 Thursday 12:00 - 12:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
15 Thursday 12:30 - 13:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
16 Thursday 13:00 - 13:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
17 Thursday 13:30 - 14:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
18 Thursday 14:00 - 14:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
19 Thursday 14:30 - 15:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
20 Thursday 15:00 - 15:30 Jack Erskine 035 Lab 2 15 Oct - 21 Oct
21 Thursday 15:30 - 16:00 Jack Erskine 035 Lab 2 15 Oct - 21 Oct

Timetable Note

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

Course Coordinator / Lecturer

Irene David

Course Administrator

Hilary Seddon

Lecturers

Hilary Seddon and Jenny Harlow

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

Textbooks

There is no set text for STAT101. However, we recommend Triola (2010), Elementary Statistics Using Excel, Pearson; and Mind on Statistics Australian & New Zealand by Macgillivray, Utts and Heckard second edition for general reading.

Black, Asafu-Adjaye, Khan, Perera, Edwards, Harris, (2007) Australasian Business Statistics, Wiley, (especially for business students) and Wild and Seber (2000) Chance Encounters, Wiley, (for general interest) are also useful and there are many other suitable texts.

Indicative Fees

Domestic fee $749.00

International fee $3,788.00

* Fees include New Zealand GST and do not include any programme level discount or additional course related expenses.

For further information see Mathematics and Statistics.

All STAT101 Occurrences