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Showing 25 course outlines from 4702 matches

3301

STATS 108

: Statistics for Commerce
2020 Summer School (1200)
The standard Stage I Statistics course for the Faculty of Business and Economics or for Arts students taking Economics courses. Its syllabus is as for STATS 101, but it places more emphasis on examples from commerce.
Subject: Statistics
Restriction: STATS 101, 102, 107, 191
3302

STATS 125

: Probability and its Applications
2025 Semester Two (1255)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3303

STATS 125

: Probability and its Applications
2025 Semester One (1253)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3304

STATS 125

: Probability and its Applications
2024 Semester Two (1245)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3305

STATS 125

: Probability and its Applications
2024 Semester One (1243)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3306

STATS 125

: Probability and its Applications
2023 Semester Two (1235)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3307

STATS 125

: Probability and its Applications
2023 Semester One (1233)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3308

STATS 125

: Probability and its Applications
2022 Semester Two (1225)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3309

STATS 125

: Probability and its Applications
2022 Semester One (1223)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3310

STATS 125

: Probability and its Applications
2021 Semester Two (1215)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3311

STATS 125

: Probability and its Applications
2021 Semester One (1213)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3312

STATS 125

: Probability and its Applications
2020 Semester Two (1205)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3313

STATS 125

: Probability and its Applications
2020 Semester One (1203)
Probability, conditional probability, Bayes theorem, random walks, Markov chains, probability models. Illustrations will be drawn from a wide variety of applications including: finance and economics; biology; telecommunications, networks; games, gambling and risk.
Subject: Statistics
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
3314

STATS 150

: Communicating Statistics
2025 Semester Two (1255)
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
3315

STATS 150

: Communicating Statistics
2024 Semester Two (1245)
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
3316

STATS 150

: Lies, Damned Lies, and Statistics
2023 Semester Two (1235)
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
3317

STATS 150

: Lies, Damned Lies, and Statistics
2022 Semester Two (1225)
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
3318

STATS 150

: 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
3319

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
3320

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
3321

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
3322

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
3323

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
3324

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
3325

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