Inferential Statistics Introduction
Why Study Statistics? Broad overview of the subject of statistics and its applications. Uncertainty, sampling, population, and samples. Distinction between descriptive and inferential statistics, Statistical thinking, Importance and pitfalls of spreadsheet programs like Microsoft Excel and SPSS.
Describing Data: Graphical methods, Types of data and classify variables, How to organize numerical data Tables and charts for numerical data, Tables and charts for categorical data,
Describing Data: Numerical Central tendency in numerical data, Variation in numerical data, Descriptive summary measures from a population
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
