1. Programme in Statistics (Courses and Contents)

2. Elementary Probability and Statistics (I) 3(2+1)Stat. 101 College of Science, Computer Science, Education and Arts Beneficiari es Descriptive statistics – Measures of central tendency – Measures of variance – Elementary probability (finite case) – Conditional probability – Bayes formula – Random variable and probability distribution – Binomial – Normal distribution content

3. Elementary Probability and Statistics (II) 4(3+1) Stat. 103 College of Science and Computer ScienceBeneficiarie s Distribution of sample mean – Point and interval estimates and hypothesis testing – Analysis of basic designs (CR, RCB) – Simple linear regression – Categorized data – Goodness of fit – Some non – parametric tests content

4. Biostatistics 2(1+1)Stat. 106 College of MedicineBeneficiari es Descriptive statistics – Measures of location and dispersion – Elementary probability – Random variable and probability distribution – Central limit theorem and application content

5. Elements of Distribution Theory 3(2+1)Stat. 111 College of Science and Computer ScienceBeneficiari es Sample space, axioms of probability – Counting techniques – Bayes theorem – Independence – Discrete random variables and distribution functions – Some discrete probability distribution – Distributions of functions of a discrete random variable content

6. Hypothesis Testing (I) 3(3+0)Stat. 321 College of ScienceBeneficiari es Hypothesis testing – Type I and Type II errors – Power functions of statistical tests – The Neyman – Person lemma – Uniformly most powerful tests – Likelihood ratio tests – Sequential probability ratio test – Operating characteristic function and expected sample size – Bayesian procedures for hypothesis testing content

7. Engineering Statistics 3(2+1)Stat. 324 College of Engineering and Computer ScienceBeneficiari es Probability and probability distribution – Mathematical expectations of random variables – Discrete and continuous distributions – sampling distributions – Estimation – Testing of hypothesis – Regression and correlation content