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6 course outlines found

1

STATS 240

: Design and Structured Data
2024 Semester Two (1245)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340
2

STATS 240

: Design and Structured Data
2023 Semester Two (1235)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340
3

STATS 240

: Design and Structured Data
2022 Semester Two (1225)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340
4

STATS 240

: Design and Structured Data
2021 Semester Two (1215)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340
5

STATS 240

: Design and Structured Data
2020 Semester Two (1205)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340
6

STATS 240

: Design and Structured Data
2021 Semester One (1213)
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.
Subject: Statistics
Prerequisite: STATS 101 or 108
Restriction: STATS 340

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