Course Description
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Chapter 1 : Introduction to Statistics
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Chapter 2 : Classification and Presentation of Data
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Chapter 3 : Measures of Central Tendency9 hr 44 min 10 Lectures
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Chapter 4 : Measure of Dispersion7 hr 6 min 7 Lectures
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Chapter 5 : Measures of Skewness, Kurtosis and Moments6 hr 55 min 7 Lectures
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Chapter 6 : Simple Correlation and Regression Analysis7 hr 42 min 5 Lectures
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Chapter 7 : Analysis of Time Series4 hr 54 min 3 Lectures
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Chapter 8 : Index Numbers4 hr 54 min 3 Lectures
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Chapter 9 : Probability1 hr 34 min 1 Lectures
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Chapter 10 : Sampling and Estimation
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Chapter 11 : Quantitative Analysis
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Chapter 12 : Linear Programming Problem1 hr 44 min 1 Lectures
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Chapter 13 : Determinant Problem2 hr 3 min 2 Lectures
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Chapter 14 : Matrix9 hr 15 min 10 Lectures
