DATAX222-23B (HAM)

Principles of Probability and Statistics

15 Points

Edit Header Content
The University of Waikato
Academic Divisions
Division of Health Engineering Computing & Science
School of Computing and Mathematical Sciences Office
Department of Mathematics

Staff

Edit Staff Content

Convenor(s)

Lecturer(s)

Administrator(s)

: maria.admiraal@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

: anne.ferrier-watson@waikato.ac.nz

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
Edit Staff Content

What this paper is about

Edit What this paper is about Content

In this paper, we will tackle the question of: How do we quantify the idea of randomness and chance? To achieve this, we will carefully construct an intuitive, logical and consistent theory of probability, and then explore its use as the basis for modern statistics.

The paper is structured in two halves. In the first half, we focus on foundational probability theory, which includes the topics of probability axioms, conditional probability, random variables, discrete and continuous distributions and expectations and variances. In the second half of the paper, we apply the ideas and concepts from the first half to derive the foundations of modern Frequentist statistics.

Edit What this paper is about Content

How this paper will be taught

Edit How this paper will be taught Content

Students are expected to attend lectures and workshops.

Lectures
Three lectures per week; see the timetable below for the schedule. The lectures provide the paper's background, theoretical material, and general information.

Workshops
One workshop per week is on Thursday afternoon, starting from the first week of teaching. The workshops provide an opportunity to work through the weekly problem sets and ask questions about assignment questions. Note that there are no workshops held on Weeks 6 and 12.

Edit How this paper will be taught Content

You will need to have

Edit You will need to have Content
  • A calculator for the tests and the final exam.
  • (Optional) Access to a computer or laptop that can run R.
Edit You will need to have Content

Learning Outcomes

Edit Learning Outcomes Content

Students who successfully complete the course should be able to:

  • Understand the basics of mathematical statistics and probability (WA1)
    Linked to the following assessments:
  • Understand and explain the theory behind Frequentist statistical inference (WA1, WA4)
    Linked to the following assessments:
Edit Learning Outcomes Content
Edit Learning Outcomes Content

Assessments

Edit Assessments Content

How you will be assessed

Edit How you will be assessed Content

The assessment items are listed here. For the percentage contributions to the overall mark, see the table below.

  • FOUR Assignments
  • TWO Tests
  • Final Exam

Please note that, as part of any assessment, students may be asked to complete an oral examination (viva voce) at a later date.

If you are enrolled in a BE (Hons) degree: Samples of your work may be required as part of the Engineering New Zealand accreditation process for BE (Hons) degrees. Any samples taken will have the student name and ID redacted. If you do not want samples of your work collected, then please email the engineering administrator, Natalie Shaw (natalie.shaw@waikato.ac.nz ), to opt out.

Edit How you will be assessed Content

The internal assessment/exam ratio (as stated in the University Calendar) is 60:40. There is no final exam. The final exam makes up 40% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 60:40 or 0:0, whichever is more favourable for the student. The final exam makes up either 40% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Assignment 1
28 Jul 2023
5:00 PM
7.5
  • Online: Submit through Moodle
  • Hand-in: Assignment Box
2. Assignment 2
11 Aug 2023
5:00 PM
7.5
  • Online: Submit through Moodle
  • Hand-in: Assignment Box
3. Test 1
17 Aug 2023
12:00 PM
15
  • In Class: In Lecture
4. Assignment 3
15 Sep 2023
5:00 PM
7.5
  • Online: Submit through Moodle
  • Hand-in: Assignment Box
5. Assignment 4
29 Sep 2023
5:00 PM
7.5
  • Online: Submit through Moodle
  • Hand-in: Assignment Box
6. Test 2
5 Oct 2023
12:00 PM
15
  • In Class: In Lecture
7. Final Exam
40
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
Edit Assessments Content