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
Credits
4
Pre-requisites
None
Co-requisites
MA0900 OR MA1005CCM OR MA1030CCM OR MA1091CCM OR ELECMA-25 OR ELECMA-30 OR ELECMA-20 OR MA1025CCM
Can be taken twice for credit?
No
Discipline
MA (Mathematics)
Level
Undergraduate
Type
CCM
CAMS ID
4499
Last update with CAMS
Develop a positive approach to mathematics.
Appreciate the use of mathematics in modeling the world.
Reason with quantitative information – in words, numbers and graphs and charts.
Clearly communicate quantitative information in words, in numbers and with graphs.
Develop strategies for solving problems.
Use descriptive statistics to describe samples, populations, and relationships between variables (independence, regression).
Use techniques of inferential statistics appropriately (confidence intervals, hypothesis tests for proportions, means, chi-squared tests and linear regression).
Take into account uncertainty and ethics applied to statistics.
Have familiarity and fluency in using a statistical software package.
Term Code Name
Fall 2020 MA1020A APPLIED STATISTICS I
Fall 2020 MA1020B APPLIED STATISTICS I
Spring 2021 MA1020A APPLIED STATISTICS I
Spring 2021 MA1020B APPLIED STATISTICS I
Summer 2021 MA1020 APPLIED STATISTICS I
Fall 2021 MA1020A APPLIED STATISTICS I
Fall 2021 MA1020B APPLIED STATISTICS I
Fall 2021 MA1020C APPLIED STATISTICS I