Course Schedule: Results |
2022 January Semester
Apr 23, 2024 |
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| CRN 10629 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: Prince George Schedule Type: Lecture Instructional Method: On campus, face to face Credits: 3.000
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| CRN 10630 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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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| CRN 10631 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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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| CRN 10633 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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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| CRN 10634 Basic Statistics - STAT 240 - L5 |
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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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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| CRN 10635 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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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