Week - 1 |
Definition of statistics. Importance of statistics |
Week - 2 |
Time, Space, Dispersion series |
Week - 3 |
Quantitative distribution series; Simple series, Frequency series, Classified series |
Week - 4 |
Number of classes, class width, Sturges rule in classifying data |
Week - 5 |
Cumulative series, Combined series, Representation of series with graphics. |
Week - 6 |
Measures of Central Tendency and Variability; Average types. |
Week - 7 |
Arithmetic mean; Arithmetic Mean in Frequency Series, Arithmetic Mean in Classified Series, Weighed Arithmetic Mean, Geometric Mean, Harmonic Mean, Squared Mean. |
Week - 8 |
Insensitive Averages; Mode, Median. Measures of Variability; Range of Variation, Standard Deviation, Variance, Coefficient of Variation |
Week - 9 |
Introduction to Probability, Three Basic Approaches in Probability; Classical Probability, Relative Frequency Concept of Probability, Subjective Probability Theory. |
Week - 10 |
Counting Rule, Component Probability, Conditional Probability, Discrete Events, Independent Events, Complementary Events
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Week - 11 |
Continuous Random Variables and Normal Distribution, Z values |
Week - 12 |
Indexes; Time Indexes, Space Indexes, Variable Based Indexes |
Week - 13 |
Regression Analysis |
Week - 14 |
Correlation Analysis; Correlation Coefficient and its meaning |