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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
ECF228 STATISTICS II 4 3 3 6

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY

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