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