Course Schedule: Results |
2020 January Semester
Apr 23, 2024 |
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| CRN 10575 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 10576 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 10577 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 10578 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: Prince George Schedule Type: Laboratory Instructional Method: On campus, face to face Credits: 0.000
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| CRN 10579 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 10580 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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