Introduction to Probability and Statistics for Engineers

CME106

Stanford School of Engineering


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Description

This course covers mathematical statistics, random variables, independence, and conditional probability; discrete and continuous distributions, moments, distributions of several random variables; applications in engineering, industrial manufacturing, medicine, biology, and other fields.

Prerequisites

Vector Calculus (CME 100), Introduction to Engineering Mathematics (ENGR154) or MATH51/MATH52 or equivalent.

Topics include

  • Random sampling
  • Point estimation
  • Confidence intervals
  • Hypothesis testing
  • Non-parametric tests
  • Regression
  • Correlation analyses