Introduction to random variables and probability distributions, discrete and continuous. Population and sample and sampling distribution. Hypothesis testing, t-test, Chi-square test, and F-test. Linear correlation and regression. Introduction to experimental design. Measurement errors and error propagation. Standards and units. Sensitivity analysis. Calibration. Measuring different types of physical variables (speed, temperature…..etc.). Different driver circuits construction. Different types of filters: analysis and design construction. Analog and digital acquisition and conversion circuits. Application using statistical software. 2(1.0hr) Lectures, one (3hrs) Lab.
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