Course Overview
This course introduces descriptive statistics and probability theory and applies them to technical problems such as cost estimation and probabilistic design (allowing for randomness in designs and process). For all topics, extensive use of spreadsheet or other software is made, allowing more complex realistic problems to be addressed.
Prerequisite(s)
- No prerequisites are required for this course.
Credits
4.0
- Not offered this term
- This course is not offered this term. Notify me to receive email notifications when the course opens for registration next term.
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Summarize and present data numerically and graphically.
- Apply basic probability rules for independent and mutually exclusive events
- Determine and use the appropriate discrete and continuous probability distributions for mechanical applications (e.g. calculate defect rates with binomial and normal distributions).
- Calculate the relationship between two variables by determining the least squares line of best fit, the correlation coefficient and residual plots.
- Estimate project costs using statistical methods.
- Estimate measurement uncertainty using confidence intervals.
- Estimate reliability using probability distributions and the Monte Carlo method.
Effective as of Fall 2020
Related Programs
Statistics for Mechanical Technologists (MATH 3494) is offered as a part of the following programs:
- Indicates programs accepting international students.
- Indicates programs eligible for students to apply for Post-graduation Work Permit (PGWP).
School of Energy
- Mechanical Engineering Technology (Mechanical Design Option)
Diploma Full-time
- Mechanical Engineering Technology (Mechanical Systems Option)
Diploma Full-time
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