Course Code & Number
MATH 306
Course Title
Introduction to Statistics and Probability II
Level
BS
Credit Hours/ ECTS Credits
(2+2+0) 3 TEDU Credits, 4 ECTS Credits
Year of Study:
Junior
Semester:
Fall
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 305
Co-requisites: NONE
Catalog Description
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.
Course Learning Outcomes
- Apply random sampling techniques.
- Calculate sample mean and variance.
- Comprehend law of large numbers.
- Solve problems related to estimation and maximum likelihood.
- Conduct hypothesis testing process in a particular context.
- Recognize nonparametric methods.
- Recognize the concepts of regression and analysis of variance.