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Showing 25 course outlines from 4474 matches

3226

STATS 150

: Lies, Damned Lies, and Statistics
2020 Semester Two (1205)
Examines the uses, limitations and abuses of statistical information in a variety of activities such as polling, public health, sport, law, marketing and the environment. The statistical concepts and thinking underlying data-based arguments will be explored. Emphasises the interpretation and critical evaluation of statistically based reports as well as the construction of statistically sound arguments and reports. Some course material will be drawn from topics currently in the news.
Subject: Statistics
No pre-requisites or restrictions
3227

STATS 150G

: Lies, Damned Lies, and Statistics
2021 Semester Two (1215)
Examines the uses, limitations and abuses of statistical information in a variety of activities such as polling, public health, sport, law, marketing and the environment. The statistical concepts and thinking underlying data-based arguments will be explored. Emphasises the interpretation and critical evaluation of statistically based reports as well as the construction of statistically sound arguments and reports. Some course material will be drawn from topics currently in the news.
Subject: Statistics
No pre-requisites or restrictions
3228

STATS 150G

: Lies, Damned Lies, and Statistics
2020 Semester Two (1205)
Examines the uses, limitations and abuses of statistical information in a variety of activities such as polling, public health, sport, law, marketing and the environment. The statistical concepts and thinking underlying data-based arguments will be explored. Emphasises the interpretation and critical evaluation of statistically based reports as well as the construction of statistically sound arguments and reports. Some course material will be drawn from topics currently in the news.
Subject: Statistics
No pre-requisites or restrictions
3229

STATS 201

: Data Analysis
2025 Semester Two (1255)
A practical course using the 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 207, 208
3230

STATS 201

: Data Analysis
2025 Semester One (1253)
A practical course using the 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 207, 208
3231

STATS 201

: Data Analysis
2025 Summer School (1250)
A practical course using the 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 207, 208
3232

STATS 201

: Data Analysis
2024 Semester Two (1245)
A practical course using the 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 207, 208
3233

STATS 201

: Data Analysis
2024 Semester One (1243)
A practical course using the 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 207, 208
3234

STATS 201

: Data Analysis
2024 Summer School (1240)
A practical course using the 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 207, 208
3235

STATS 201

: Data Analysis
2023 Semester Two (1235)
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
3236

STATS 201

: Data Analysis
2023 Semester One (1233)
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
3237

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
3238

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
3239

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
3240

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
3241

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
3242

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
3243

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
3244

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
3245

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
3246

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
3247

STATS 208

: Data Analysis for Commerce
2025 Semester Two (1255)
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
3248

STATS 208

: Data Analysis for Commerce
2025 Semester One (1253)
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
3249

STATS 208

: Data Analysis for Commerce
2025 Summer School (1250)
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
3250

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