Probability Theory Basics (Continued)
Binomial distribution and its application; Poisson distribution and its application; Hypergeometric distribution and its application; Joint probability distributions and their application; Continuous Random Variables & Probability Distributions; Normal probability distribution and its use in representing certain continuous variables; Normal probability in assessing Normality; Exponential distribution; Normal approximation to the Binomial distribution
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
