Introduces the tools of statistical analysis. Combines theory with extensive data collection and computer-assisted laboratory work. Develops an attitude of mind accepting uncertainty and variability as part of problem analysis and decision-making. Topics include: exploratory data analysis and data transformation, hypothesis-testing and the analysis of variance, simple and multiple regression with residual and influence analyses.
Course Master:
Term:
Fall 2019
Discipline:
MA (Mathematics)
Credits:
4 credits
Type:
CCM
Level:
Undergraduate
Can be taken twice for credit?:
No
Exam Date:
Friday, December 13, 2019 - 08:30
Pre-requisites:
None
Co-requisites:
MA0900 OR MA1005CCM OR MA1030CCM OR MA1091CCM OR ELECMA-25 OR ELECMA-30 OR ELECMA-20 OR MA1025CCM