One Sample and Two Sample Test of Significance
1. z test and t test
2. One-Sample Tests of Significance: Assumptions, Tests of Significance for Population Mean, Proportion and Variance
3. Two-Sample Tests of Significance: Assumptions, Tests of Significance for Two Population Means under various assumptions; Tests of Significance for Two Population Proportions under various assumptions; Tests of Significance for Two Population Variances
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
