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STATISTICS II COURSE IDENTIFICATION AND APPLICATION INFORMATION

Code Name of the Course Unit Semester In-Class Hours (T+P) Credit ECTS Credit
EKF228 STATISTICS II 4 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

Week Preparatory Topics(Subjects) Method
1 Literature reading, assignment Introduction to sampling methods and sampling distributions Lecture, problem solving
2 Literature reading, assignment Central Limit Theorem and its applications Lecture, problem solving
3 Literature reading, assignment Point estimation: estimators and their properties Lecture, problem solving
4 Literature reading, assignment Interval estimation (confidence intervals): mean and proportion Lecture, problem solving
5 Literature reading, assignment Fundamentals of hypothesis testing (H0–H1, errors, p-value Lecture, problem solving
6 Literature reading, assignment One-sample hypothesis tests (Z test, t test Lecture, problem solving
7 Literature reading, assignment Two-sample hypothesis tests (independent samples t test) Lecture, problem solving
8 Literature reading, assignment Paired-samples t test and applications Lecture, problem solving
9 Literature reading, assignment Chi-square (χ²) tests: goodness-of-fit and independence tests Lecture, problem solving
10 - MID-TERM EXAM -
11 Literature reading, assignment One-way analysis of variance (ANOVA) and post-hoc tests Lecture, problem solving
12 Literature reading, assignment Correlation analysis (Pearson) and interpretation Lecture, problem solving
13 Literature reading, assignment Simple linear regression: model building and interpretation Lecture, problem solving
14 Literature reading, assignment Introduction to time series and trend analysis (moving average, linear trend) Lecture, problem solving
15 Literature reading, assignment Introduction to time series and trend analysis (moving average, linear trend) Lecture, problem solving
16 - FINAL EXAM -
17 - FINAL EXAM -