1.1 Meaning and Definition of Data
1.2 Importance of Data Presentation in Statistics
1.3 Objectives of Presenting Data
1.4 Raw Data vs Organized Data
1.5 Types of Data (Qualitative vs Quantitative)
1. Presentation of Data
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2. Measures of Central Tendency and Dispersion
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3. Index Numbers
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4. Probability and Probability Distributions
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5. Sampling Methods and Techniques
6. Regression & Correlation Analysis and Econometrics
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7. Statistical Inference (Estimation and Hypothesis Testing)
8. Design and Analysis of Experiments
9. Nonparametric Methods
10. Vital Statistics