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.
Code:
MA1020
Name:
APPLIED STATISTICS I
Discipline:
MA (Mathematics)
Type:
CCM
Level:
Undergraduate
Credits:
4
Can be taken twice for credit?:
No
Pre-requisites:
None
Co-requisites:
MA0900 OR MA1005CCM OR MA1030CCM OR MA1091CCM OR ELECMA-25 OR ELECMA-30 OR ELECMA-20 OR MA1025CCM
Learning Outcomes
- Use descriptive statistics to describe samples, populations, and relationships between variables (independence, regression) (LO5)
- Use techniques of inferential statistics appropriately (confidence intervals, hypothesis tests for proportions, means, chi-squared tests and linear regression) (LO6)
- Take into account uncertainty and ethics applied to statistics.(LO7)
- Have familiarity and fluency in using a statistical software package.(LO8)
Offering(s)
| Term | Code | Name |
|---|---|---|
| Fall 2019 | MA1020A | APPLIED STATISTICS I |
| Fall 2019 | MA1020B | APPLIED STATISTICS I |
| Fall 2019 | MA1020C | APPLIED STATISTICS I |
| Fall 2019 | MA1020D | APPLIED STATISTICS I |
| Spring 2020 | MA1020A | APPLIED STATISTICS I |
| Spring 2020 | MA1020B | APPLIED STATISTICS I |
| Spring 2020 | MA1020C | APPLIED STATISTICS I |
| Spring 2020 | MA1020D | APPLIED STATISTICS I |
| Summer 2020 | MA1020 | APPLIED STATISTICS I |
Archived Syllabi
| Term | PDF File |
|---|---|
Fall 2019 |
