MATH 306

Course ID:

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::

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 Objectives

Software Usage

Course Learning Outcomes

1. Apply random sampling techniques.
2. Calculate sample mean and variance.
3. Comprehend law of large numbers.
4. Solve problems related to estimation and maximum likelihood.
5. Conduct hypothesis testing process in a particular context.
6. Recognize nonparametric methods.
7. Recognize the concepts of regression and analysis of variance.

Learning Activities and Teaching Methods:

Telling/Explaining Questioning Problem Solving Collaborating Hands-on Activities Others

Assessment Methods and Criteria:

Test / Exam Quiz Lab Assignment Others

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

Required Reading

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Student Workload:

Workload	Hrs
Lab Applications	28
Hands-on Work	30
Exams/Quizzes	32

Course & Program Learning Outcome Matching: