Search Course Outline
Showing 25 course outlines from 3703 matches
2651
STATS 108
: Statistics for Commerce2021 Semester One (1213)
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.
Restriction: STATS 101, 102, 107, 191
2652
STATS 108
: Statistics for Commerce2021 Summer School (1210)
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.
Restriction: STATS 101, 102, 107, 191
2653
STATS 108
: Statistics for Commerce2020 Semester Two (1205)
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.
Restriction: STATS 101, 102, 107, 191
2654
STATS 108
: Statistics for Commerce2020 Semester One (1203)
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.
Restriction: STATS 101, 102, 107, 191
2655
STATS 108
: Statistics for Commerce2020 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.
Restriction: STATS 101, 102, 107, 191
2656
STATS 125
: Probability and its Applications2024 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.
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2657
STATS 125
: Probability and its Applications2024 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.
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2658
STATS 125
: Probability and its Applications2023 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.
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2659
STATS 125
: Probability and its Applications2023 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.
Corequisite: ENGSCI 111 or MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2660
STATS 125
: Probability and its Applications2022 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2661
STATS 125
: Probability and its Applications2022 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2662
STATS 125
: Probability and its Applications2021 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2663
STATS 125
: Probability and its Applications2021 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2664
STATS 125
: Probability and its Applications2020 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2665
STATS 125
: Probability and its Applications2020 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.
Corequisite: MATHS 108 or 110 or 120 or 130
Restriction: STATS 210
Restriction: STATS 210
2666
STATS 150
: Communicating Statistics2024 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.
No pre-requisites or restrictions
2667
STATS 150
: Lies, Damned Lies, and Statistics2023 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.
No pre-requisites or restrictions
2668
STATS 150
: Lies, Damned Lies, and Statistics2022 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.
No pre-requisites or restrictions
2669
STATS 150
: Lies, Damned Lies, and Statistics2021 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.
No pre-requisites or restrictions
2670
STATS 150
: Lies, Damned Lies, and Statistics2020 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.
No pre-requisites or restrictions
2671
STATS 150G
: Lies, Damned Lies, and Statistics2021 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.
No pre-requisites or restrictions
2672
STATS 150G
: Lies, Damned Lies, and Statistics2020 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.
No pre-requisites or restrictions
2673
STATS 201
: Data Analysis2024 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.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
2674
STATS 201
: Data Analysis2024 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.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
2675
STATS 201
: Data Analysis2024 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.
Prerequisite: 15 points from STATS 101-108, 191
Restriction: STATS 207, 208
Restriction: STATS 207, 208
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