STA 101S PRINCIPLE OF STATISTICS

3 Hours/Week, 3 Credits

1. General introduction 2. Presentation of Data: Types of data, tabulation of data, frequency and frequency distribution, construction of frequency distribution table 3. Graphical Representation: Introduction of graph, types of graphs 4. Measures of Central Tendency 5. Measures of Dispersion: Introduction, different types of dispersion 6. Moments, Skewness and Kurtosis: Introduction, Definition and types of Skewness and Kurtosis, Absolute and relative measures of Skewness, Measures of Kurtosis, Use of Moments in Skewness and Kurtosis 7. Correlation and Regression: Correlation: Coefficient of correlation, Simple correlation, Rank correlation, Coefficient of determination; Regression: Regression coefficient, Simple regression, Partial and Multiple regression; Use of regression and correlation analysis: Limitations and Errors 8. Concept of Probability Recommended Books 1. An Introduction the Theory of Statistics by Yule and Kendal 2. Probability and Statistics by Meyer A 3. Probability with Statistical Applications by Mosteller, Rourke & Thomas 4. An Introduction to Statistics and Probability by M N Islam 5. Fundamentals of Probability and Probability distributions by M K Roy 6. Methods of Statistics by Abdur Rashid Ahmed