DATAX12123A (SEC)
Introduction to Statistical Methods
15 Points
Staff
Convenor(s)
David Chan
9068
G.3.09
david.chan@waikato.ac.nz

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What this paper is about
DATAX121 introduces a set of statistical methods used in various disciplines for data analysis—see Topics below for further details. These disciplines include statistics, data science, computer science, natural sciences, health sciences, and social sciences. In particular, DATAX121 aims to improve students' understanding of statistical methods and when they can use them.
We use R because of its popularity in academia and industry and RStudio as the preferred integrated work environment. R and RStudio are opensource software and free to download and use.
DATAX121 does not require students to have any prior programming experience to succeed in the paper.
How this paper will be taught
Students are expected to review lecture and workshop recordings.
Lectures
Three recorded lectures per week. The lectures provide the paper's background, theoretical material, and general information.
Workshops
One recorded workshop per week. The workshops provide the R programming material for the paper.
Labs
It will be beneficial to have your teacher organise a onehour session to work through the lab assignments each week (starting from Week 2). The lab assignments are designed to reinforce the material covered in the previous week's lectures and provide practice in using R for data analysis.
For marking purposes, the lecturer will assign you to a computer lab group in Moodle .
You will need to have
 A calculator for the tests.
 Access to a computer or laptop that can run R and RStudio.
Learning Outcomes
Students who successfully complete the course should be able to:
Assessments
How you will be assessed
The assessment items are listed here. For the percentage contributions to the overall mark, see the table below.
 Admin Quiz
 Best NINE out of eleven Lab Assignments
 TWO Tests
 Final Test
The "D" rule: The requirements for an unrestricted pass (C or better) are a minimum overall mark of 50% for the whole paper and a minimum mark of 40% for the final test.
Please note that, as part of any assessment, students may be asked to complete an oral examination (viva voce) at a later date.
The internal assessment/exam ratio (as stated in the University Calendar) is 100:0. There is no final exam.