교재 - OpenIntro Statistics, 4th edition-Diez, D. M. Barr, C. D. and C ̧etinkaya-Rundel, M. -OpenIntro, Inc.-2019

부교재 - 일반통계학, 개정판.-김우철 외 8인-영지문화사-2006

참고문헌 - Statistical Reasoning and Methods, Alternate Edition Richard A. Johnson

Chapter 0: Overview of Statistics [Lecutre] [SLIDE]

Chapter 1: Introduction to Statistics [SLIDE]

•  Chapter 1-1: Case study: Treating Chronic Fatigue Syndrome [Lecture]

• Chapter 1-2: Data basics [Lecture]

• Chapter 1-3: Sampling principles and strategies [Lecture]

• Chapter 1-4: Experiments [Lecture]

Chapter 2: Summarizing data (SLIDE)

• Chapter 2-1: Examining numerical data [Lecture]

• Chapter 2-2: Considering categorical data [Lecture]

• Chapter 2-3: Case study: Gender discrimination [Lecture]

• Extra: Visualization

Chapter 3: Introduction to Statistics (SLIDE)

• Chapter 3-1: Defining probability [Lecture]

• Chapter 3-2: Conditional probability [Lecture]

• Chapter 3-3: Sampling from a small population [Lecture]

• Chapter 3-4: Random variables [Lecture]

• Chapter 3-5: Continuous distributions [Lecture]

Chapter 4: Distributions of random variables (SLIDE)

• Chapter 4-1: Normal distribution [Lecture]

• Chapter 4-2 Geometric distribution [Lecture]

• Chapter 4-3 Binomial distribution [Lecture]

• Chapter 4-4 Negative binomial distribution [Lecture]

• Chapter 4-5 Poisson distribution [Lecture]

First Midterm 2022  [Solution] , 2023 [Solution]

Chapter 5: Foundations for inference (SLIDE)

• Chapter 5-1 Point estimates and sampling variability [Lecture]

• Chapter 5-2 Confidence intervals for a proportion [Lecture]

• Chapter 5-3 Hypothesis testing for a proportion [Lecture]

Chapter 6: Inference for categorical data (SLIDE)

• Chapter 6-1 Inference for a single proportion [Lecture]

• Chapter 6-2 Difference of two proportions [Lecture]

• Chapter 6-3 Testing for goodness of fit using chi-square [Lecture]

• Chapter 6-4 Testing for independence in two-way tables [Lecture]

Chapter 7: Inference for numerical data (SLIDE)

• Chapter 7-1 One-sample means with the t-distribution [Lecture]

• Chapter 7-2 Paired data [Lecture]

• Chapter 7-3 Difference of two means [Lecture]

• Chapter 7-4 Power calculations for a difference of means [Lecture]

• Chapter 7-5 Comparing many means with ANOVA [Lecture]

Second Midterm 2022 [Solution]

Chapter 8: Introduction to linear regression (SLIDE)

• Chapter 8-1 Fitting a line, residuals, and correlation [Lecture]

• Chapter 8-2 Least squares regression [Lecture]

• Chapter 8-3 Types of outliers in linear regression [Lecture]

• Chapter 8-4 Inference for linear regression [Lecture]

Chapter 9: Multiple and logistic regression (SLIDE)

• Chapter 9-1 Introduction to multiple regression [Lecture]

• Chapter 9-2 Model selection [Lecture]

• Chapter 9-3 Checking model conditions using graphs [Lecture]

• Chapter 9-5 Introduction to logistic regression [Lecture]

• Chapter 9-6 Model Assessment: Sensitivity and Specificity [Lecture]