Introduction to Theory and Methods of Mathematical Statistics I

Course Number: 
Fall, Spring
Course Description: 
Elements of probability, important discrete distributions, acceptance sampling by attributes, sample characteristics, probability distributions and population characteristics, the normal distribution, acceptance sampling plans based on sample means and variances, sampling from the normal, the central limit theorem, point and interval estimation.
Course Prerequisites: 
Math 234 or concurrent registration. Students may not enroll if they have completed Stat 309 or Math 431.
Course Audience: 
Students majoring in engineering or business.