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STATS 240 - Design and Structured Data

Course Overview

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Faculty

Science

Department

Statistics

Points:

15

Available Semesters:

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Course Components

Labs

Tutorials

Lectures

Exam

TBLs

Workshops

Description: An introduction to research study design and the analysis of structured data. Blocking, randomisation, and replication in designed experiments. Clusters, stratification, and weighting in samples. Other examples of structured data.

Prerequisites / Restrictions

Prerequisite: STATS 101 or 108 Restriction: STATS 340

Average Rating From 5 Reviews

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Teaching Quality

5.4 / 10

M

Content Quality

6.8 / 10

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Workload

4.6 / 10

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Difficulty

4 / 10

40% - Would Recommend

60% - Would Not Recommend

Reviews

Easy paper, and the content was very straightforward and interesting.

Semester Two - 2022

The second half of this course is not taught well at all despite the content being fairly interesting. Idk if it was just my semester but there were often mistakes in the quizzes that were worth a decent amount and RIGHT to the end of the course, despite asking the CC/lecturer of the second half, nothing was done for some of it. Overall, the first half was good but the second half wasn’t it and I wish the lecturer was a bit more responsible as the content was fairly new.

Semester Two - 2023