MTH 410
Statistics
Statistics: Description of numerical data. Elements of probability theory. Discrete probability distributions (hypergeometric, binomial, geometric and Poisson distribution). Continuous probability distributions; uniform on an interval, Normal distribution, t-distribution, Exponential distribution, x² distribution. Confidence interval and hypothesis testing concerning mean, variance and proportion for one and two populations. F-distribution. Correlation. Simple linear regression (if time permits).
MTH 410 Requisite Information:
MTH 410 Let's You Take:
Prerequisites: MTH 141 and MTH 240; Antirequisite: MTH 304, MTH 380 and MTH 404
- AER 520 - Stress Analysis
- AER 715 - Avionics and Systems
- AER 817 - Systems Engineering
- AER 850 - Introduction to Machine Learning
- BME 704 - Radiation Therapy Devices
- BME 70A/B - Biomedical Engineering Capstone Design
- BME 777 - Emerging Topics in Biomedical Engineering
- BME 808 - Computations in Genetic Engineering
- ECN 627 - Econometrics I
- IND 303 - Work Measurement, Analysis and Design
- IND 405 - Introduction to Data Science and Analytics
- IND 508 - Operations Research I
- IND 605 - Experimental Design and Quality Assurance
- IND 832 - Reliability and Decision Analysis
- IND 833 - Financial Engineering
- MTH 707 - Modelling and Searching Networks
- MEC 722 - Thermal Systems Design
- MEC 723 - Mechanical Systems Design
- MEC 734 - Design for Manufacturing
- MEC 830 - Mechatronics Systems Design
- MEC 832 - Reliability and Decision Analysis
- MTE 712 - Sensor Fusion
- PCS 335 - Thermodynamics and Statistical Physics
- PCS 352 - Nuclear Physics/Radiation Protection
- PCS 810 - Complex Networks and Applications
Prerequisites: MTH 141 and MTH 240; Antirequisite: MTH 304, MTH 380 and MTH 404
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