Course Schedule: Results |
2021 May Semester
Apr 24, 2024 |
|
 |
||
| CRN 30058 Basic Statistics - STAT 240 - A1 |
|||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
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
|
|||||||||||||||||||||
| CRN 30059 Basic Statistics - STAT 240 - L1 |
|||||||||||||||||||||
|
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
|
|||||||||||||||||||||
| CRN 30060 Basic Statistics - STAT 240 - L2 |
|||||||||||||||||||||
|
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
|
| Return to Previous |
|
