Search Course Outline

Showing 25 course outlines from 3703 matches

2676

STATS 201

: Data Analysis
2023 Summer School (1230)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2677

STATS 201

: Data Analysis
2022 Semester Two (1225)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2678

STATS 201

: Data Analysis
2022 Semester One (1223)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2679

STATS 201

: Data Analysis
2022 Summer School (1220)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2680

STATS 201

: Data Analysis
2021 Semester Two (1215)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2681

STATS 201

: Data Analysis
2021 Semester One (1213)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2682

STATS 201

: Data Analysis
2021 Summer School (1210)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2683

STATS 201

: Data Analysis
2020 Semester Two (1205)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2684

STATS 201

: Data Analysis
2020 Semester One (1203)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2685

STATS 201

: Data Analysis
2020 Summer School (1200)
A practical course in the statistical analysis of data. Interpretation and communication of statistical findings. Includes exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208, BIOSCI 209
2686

STATS 208

: Data Analysis for Commerce
2024 Semester Two (1245)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
2687

STATS 208

: Data Analysis for Commerce
2024 Semester One (1243)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
2688

STATS 208

: Data Analysis for Commerce
2024 Summer School (1240)
A practical course using the popular R language in the statistical analysis of data and the interpretation and communication of statistical findings. Includes exploratory data analysis, analysis of linear models including multiple regression and analysis of variance, generalised linear models including logistic regression and analysis of counts, time series analysis.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207
2689

STATS 208

: Data Analysis for Commerce
2023 Semester Two (1235)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2690

STATS 208

: Data Analysis for Commerce
2023 Semester One (1233)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2691

STATS 208

: Data Analysis for Commerce
2023 Summer School (1230)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2692

STATS 208

: Data Analysis for Commerce
2022 Semester Two (1225)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2693

STATS 208

: Data Analysis for Commerce
2022 Semester One (1223)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2694

STATS 208

: Data Analysis for Commerce
2022 Summer School (1220)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2695

STATS 208

: Data Analysis for Commerce
2021 Semester Two (1215)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2696

STATS 208

: Data Analysis for Commerce
2021 Semester One (1213)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2697

STATS 208

: Data Analysis for Commerce
2021 Summer School (1210)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2698

STATS 208

: Data Analysis for Commerce
2020 Semester Two (1205)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2699

STATS 208

: Data Analysis for Commerce
2020 Semester One (1203)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209
2700

STATS 208

: Data Analysis for Commerce
2020 Summer School (1200)
A practical course in the statistical analysis of data. There is a heavy emphasis in this course on the interpretation and communication of statistical findings. Topics such as exploratory data analysis, the analysis of linear models including two-way analysis of variance, experimental design and multiple regression, the analysis of contingency table data including logistic regression, the analysis of time series data, and model selection will be covered.
Subject: Statistics
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 201, 207, BIOSCI 209