Probability & Statistics for Engineers
Probability, distributions, estimation, hypothesis testing and regression for engineering data.
STAT-235 Year 2 3 credits 5 lessons · 2 h 50 min
Offered by HSM University · Engineering Core
This is the American version of this course. See the Canadian version.
What you'll learn
- Summarize engineering data with graphs and statistics, identify outliers and judge results against acceptance criteria
- Apply the rules of probability, conditional probability and Bayes' theorem to reliability, inspection and return-period problems
- Model counts, lifetimes and measurements with binomial, Poisson, exponential and normal distributions, and combine random variables
- Construct confidence intervals, choose sample sizes and carry out one-sample, two-sample and paired hypothesis tests
- Fit and assess linear regression models, and use confidence and prediction intervals for calibration and design
Course content
5 lessons · 2 h 50 min total · final exam
- 1 Describing data 34 min · quiz
- 2 Probability 36 min · quiz
- 3 Random variables and distributions 37 min · quiz
- 4 Confidence intervals and hypothesis tests 35 min · quiz
- 5 Linear regression 28 min · quiz
- E Final exam 10 questions
Requirements
Recommended background. You can start any course at any time.
Description
Probability, distributions, estimation, hypothesis testing and regression for engineering data.
Part of the Engineering stream, typically taken in year 2.