STAT202Undergraduate
Introduction to Probability &stat.ii
Printed in the catalogue as INTRODUCTION TO PROBABILITY &STAT.II
Course content
Random samples. Sample mean and variance. Chebychev`s inequality. Law of large numbers. Central limit theorem. Estimation. Maximum likelihood, unbiased, minimum variance unbiased, consistent and efficient estimators. Sufficiency. Confidence intervals. Hypothesis testing. Introduction to nonparametric methods. Regression and analysis of variance.
Where it sits in a curriculum
Programs whose published curriculum lists this course, and the term it falls in. Your own curriculum is the one that counts.
- Elementary Mathematics EducationYear 2, Spring semester
- Mathematics EducationYear 3, Spring semester
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