Course Schedule: Results |
2020 September Semester
Apr 23, 2024 |
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| CRN 50600 Basic Statistics - STAT 240 - A1 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Lecture Instructional Method: Online Credits: 3.000
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| CRN 50601 Basic Statistics - STAT 240 - L1 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Laboratory Instructional Method: Online Credits: 0.000
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| CRN 50602 Basic Statistics - STAT 240 - L2 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Laboratory Instructional Method: Online Credits: 0.000
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| CRN 50603 Basic Statistics - STAT 240 - L3 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Laboratory Instructional Method: Online Credits: 0.000
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| CRN 50604 Basic Statistics - STAT 240 - L4 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Laboratory Instructional Method: Online Credits: 0.000
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| CRN 50605 Basic Statistics - STAT 240 - L6 |
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This course is an introduction to the basic principles of statistics and procedures for data analysis. Topics include gathering data, displaying and summarizing data, examining relationships between variables, probability models, sampling distributions, estimation and significance tests, inference for means and proportions in one and two sample situations, contingency tables, and simple linear regression. Students register in a computer lab corresponding to their area of interest. Please note: You must register separately in lecture and lab/tutorial components if applicable. Levels: Undergraduate Campus: World Wide Web Schedule Type: Laboratory Instructional Method: Online Credits: 0.000
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