Course Code & Number
MATH 232
Course Title
Introduction to Statistics
Credit Hours/ ECTS Credits
(3+0+0) 3 TEDU Credits, 6 ECTS Credits
Type of Course:
Compulsory
Mode of Delivery:
Face-to-face
Language of Instruction:
English
Pre-requisite / Co-requisite::
Pre-requisites: MATH 230
Co-requisites: NONE
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.
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:
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.
Learning Activities and Teaching Methods Others:
Course & Program Learning Outcome Matching:
