MATH 232

Course ID:

Course Code & Number

MATH 232

Course Title

Introduction to Statistics

Level

BS

Credit Hours/ ECTS Credits

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Year of Study:

Sophomore

Semester:

Spring

Type of Course:

Compulsory

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Pre-requisite / Co-requisite:

Catalog Description

Descriptive statistics. Statistical estimation. Hypothesis testing. Simple and multiple linear regressions. Correlation analysis. Elementary design of experiments.

Course Objectives

The course aims to teach fundamental concepts in statistics. The goal is to develop skills to use point and interval estimators for population parameters, to test hypotheses on claims involving one or two populations, and develop simple linear regression models. The course also aims to give background on multiple linear regression and analysis of data collected through designed experiments.

Software Usage

Course Learning Outcomes

Upon succesful completion of this course, a student will be able to
1. Calculate and interpret point and interval estimators for basic statistics involving one or two populations. (b2, B3) 
2. Perform hypothesis tests to statistically prove or disprove claims involving one or more populations. (b2, B3)
3. Construct experiments to analyze single factor scenarios. (b1, B4)
4. Construct full and fractional design experiments to analyze scenarios involving multiple factors with two levels each. (b1, B4)
5. Analyze the data collected through a designed experiment to draw statistically significant conclusions (b2, B3)
6. Construct basic regression models (e, B4)

Learning Activities and Teaching Methods:

Telling/Explaining Discussion/Debate Questioning Reading Problem Solving Collaborating

Assessment Methods and Criteria:

Test / Exam Quiz

Assessment Methods and Criteria Others:

Design Content

Recommended Reading

1. Devore, J. L. (1990), Probability and Statistics for Engineers and the Scientists, Brooks/Cole Publishing Company. 2. Hines, W.W., Montgomery, D. C. (1990), Probability and Statistics in Engineering and Management Scientists, John Wiley and Sons.

Required Reading

1. Walpole, R. E., Myers, R. H., Myers S. L., Ye, K. (2007), Probability and Statistics for Engineers and Scientists (8th edition), Prentice Hall.

Grading

Learning Activities and Teaching Methods Others:

Course Coordinator:

Student Workload:

Workload	Hrs

Course & Program Learning Outcome Matching: