Probability: ▪ Special Continuous R.Vs: Normal Dist., T Dist, Chi-square Dist, FDist, Gamma Dist. ▪ Markov and Chebyshev Inequalities ◦ Sampling Distribution (Limit Theorems) ▪ Law of Large Numbers (LLN) ▪ Central Limit Theorem (CLT) and De-Moivre Theorem • Inferential Statistics ▪ Point Estimation ▪ Confidence Intervals for: Population Mean, Population Proportion, Difference of two Population Means ▪ Tests of Hypotheses and significance for: Population Mean, Population Proportion, Difference of two Population Means, Difference of two Population Proportions. ▪ chi-squared test (goodness of fit) • Regression
