This course introduces students to standard methods of describing and analyzing data, probability theory, statistical inference, and ordinary least squares. The understanding of fundamental concepts and rules of probability and statistics is applied to engineering problems.

Students will learn the following:
• Roles of statistics in the engineering problem-solving process (chapter 1)
• Probability concepts and rules (chapter 2)
• Discrete random variables and probability distributions (chapter 3)
• Continuous random variables and probability distributions (chapter 4)
• Multiple random variables and joint distributions (chapter 5)
• Numerical measures and visualization methods of data description (chapter 6)
• Parameter estimation and sampling distributions (chapter 7)
• Statistical inference for a single sample (chapters 8 & 9)
• Statistical inference for two samples (chapter 10)
• Simple linear regression and correlation (chapter 11)
• Multiple linear regression (chapter 12)
• Design & analysis of single-factor experiments: Analysis of variance (chapter 13)

There is no prerequisite course for this class.

Attendance 10% (1% deduction per absence)
Homework 10%
Quiz 10%
Midterm 35% (9:15 AM – 10:45 AM, Wed., Apr. 10)
Final 35% (9:15 AM – 10:45 AM, Wed., June 5)
TOTAL 100%

COURSE OUTLINE
Chapter 1: Introduction
Chapter 2: Probability
Chapter 3: Discrete Random Variables and Probability Distributions
Chapter 4: Continuous Random Variables & Probability Distributions
Chapter 5: Joint Probability Distributions
Chapter 6: Descriptive Statistics
Chapter 7: Parameter Estimation & Sampling Distributions
Chapter 8: Statistical Intervals for a Single Sample
Chapter 9: Hypothesis Testing for a Single Sample
Chapter 10: Statistical Inference for Two Samples
Chapter 11: Simple Linear Regression & Correlation
Chapter 12: Multiple Linear Regression
Chapter 13: Design & Analysis for Single-Factor Experiments

Lecture based class

2011학번부터 산업경영공학과 필수 STC 과목임