Probability Theory Basics
Probability: Basic probability concepts, Conditional probability and statistical independence, Use of Bayes' theorem to revise probabilities in the light of new information
Discrete Random Variables & Probability Distributions: Understanding of the basic concepts of discrete probability distributions and their characteristics, Concept of mathematical expectations in relation to discrete random variables;
Course Material
- Inferential Statistics Introduction
- Deductive and Inductive Approaches
- Review of Sampling Theory
- Data and Empirical Analysis Introduction
- Data Collection and presentations
- Data Analysis and software Packages
- Probability Theory Basics
- Probability Theory Basics (Continued)
- Hypothesis Testing Basic Concepts and Process
- Chi square Distribution and Statistical Inference
- One Sample and Two Sample Test of Significance
- Correlation and Covariance
- Regression Analysis : Parameter Estimation and Overall Goodness of Fit Statistics
- Regression Analysis: Testing the Significance Coefficients of Regression Equation.
- Analysis of Variance- One way ANOVA
- Analysis of Variance: Two ANOVA
- Chapters 16
- Department Business Administration
- Teacher
Mr. Ahmad Saeed