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Showing 25 course outlines from 2938 matches

2126

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
2127

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
2128

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
2129

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
2130

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
2131

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
2132

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
2133

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
2134

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
2135

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
2136

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
2137

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
2138

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
2139

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
2140

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
2141

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
2142

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
2143

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
2144

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
2145

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
2146

STATS 210

: Statistical Theory
2021 Semester Two (1215)
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
2147

STATS 210

: Statistical Theory
2021 Semester One (1213)
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
2148

STATS 210

: Statistical Theory
2021 Summer School (1210)
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
2149

STATS 210

: Statistical Theory
2020 Semester Two (1205)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing. This course is a prerequisite for the BSc(Hons) and masters degree in statistics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent
2150

STATS 210

: Statistical Theory
2020 Semester One (1203)
Probability, discrete and continuous distributions, likelihood and estimation, hypothesis testing. This course is a prerequisite for the BSc(Hons) and masters degree in statistics.
Subject: Statistics
Prerequisite: 15 points from ENGSCI 111, ENGGEN 150, STATS 125 Corequisite: 15 points from MATHS 208, 250, ENGSCI 211 or equivalent