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Showing 25 course outlines from 4473 matches

3251

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
3252

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
3253

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
3254

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
3255

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
3256

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
3257

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
3258

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
3259

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
3260

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
3261

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
3262

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
3263

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
3264

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
3265

STATS 210

: Statistical Theory
2025 Semester Two (1255)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3266

STATS 210

: Statistical Theory
2025 Semester One (1253)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3267

STATS 210

: Statistical Theory
2024 Semester Two (1245)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3268

STATS 210

: Statistical Theory
2024 Semester One (1243)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3269

STATS 210

: Statistical Theory
2024 Summer School (1240)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3270

STATS 210

: Statistical Theory
2023 Semester Two (1235)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3271

STATS 210

: Statistical Theory
2023 Semester One (1233)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3272

STATS 210

: Statistical Theory
2023 Summer School (1230)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3273

STATS 210

: Statistical Theory
2022 Semester Two (1225)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3274

STATS 210

: Statistical Theory
2022 Semester One (1223)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
3275

STATS 210

: Statistical Theory
2022 Summer School (1220)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent