Description
Engineering Data Analysis(ES 13) is designed for undergraduate engineering students with an emphasis on problem-solving related to societal issues that engineers and scientists are called upon to solve. It introduces different methods of data collection and the suitability of using a particular method for a given situation.
The relationship of probability to statistics is also discussed, providing students with the tools they need to understand how "chance" plays a role in statistical analysis. Probability distributions of random variables and their uses are also considered, along with a discussion of linear functions of random variables within the context of their application to data analysis and inference.
The course also includes estimation techniques for unknown parameters; hypothesis testing used in making inferences from a sample to a population; inference for regression parameters and building models for estimating means and predicting future values of key variables under study.
Finally, statistically-based experimental design techniques and analysis of outcomes of experiments are discussed with the aid of statistical software.
What will you learn?
✔️ Define relevant statistical terms and discuss its concepts and applications competently;
✔️ Apply accurately statistical knowledge and methods in the analysis of data in solving specific engineering problem situations;
✔️ Design experiments involving several factors.
- Teacher: SHERWIN BOHOLANO