Data and Empirical Analysis Introduction
Data, variables, types of data and variables, Measurement scales,
Point and Interval Estimation Branches of Statistical Inference (Estimation and Testing of Hypothesis),
Need and Significance of Estimation and Type of Estimation (Point and Interval Estimation)
Confidence Interval Estimate for Mean and Proportion
Finite Population Correction Factor
Deciding the Sample Size
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
