The course provides students with basic knowledge of probability theory: Common forms of probability distributions. How to collect data and process data using statistical software. Applying some parameter estimation problems, statistical hypothesis testing, and variance analysis. Single linear correlation analysis and multi-parameter linear correlation analysis. The program is written with the main target audience in mind, which are future engineers, so they focus on applied formulas and do not place too much emphasis on theoretical mathematical issues.