1. |
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Descriptive Statistics |
Quantitative vs Qualitative Variable, Ratio Scale, Interval Scale, Nominal vs. Ordinal Scale |
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2. |
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Histogram, Ogive and Scattergram |
Frequency Distribution, Bar Chart, Pie Chart, Histogram, Frequency Polygon, Scattegram |
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3. |
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Pivot Table and Other Presentation Techniques |
Time-series plot, Pivot table function, Contingency table |
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4. |
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Numerical Descriptive Measures - Central Location and Spread |
Mean, Median, Mode, Variance, Standard Deviation |
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5. |
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Numerical Descriptive Measures - Shape of Distribution |
Coefficient of Variation, Shapes of Distribution, IQR, Box Plot |
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6. |
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Basic Concepts in Probability |
Probability assignment approaches, Mutually exclusive events, Collectively exhaustive events, |
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7. |
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Conditional Probability and Bayes' Theorem |
Joint probability, Conditional probablity, Bayes' Theorem |
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8. |
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Introduction to Normal Distribution |
Normal distribution, Transformation of normal to Z-distribution, Probability Density Function |
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9. |
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Normal and Other Continuous Distributions |
Test of normality, Uniform distribution, Poisson distribution |
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10. |
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Confidence Interval Estimation |
Confidence Level, Interval Estimation, Student's t-distribution, Confidence Interval for Population Proportion, Required Sample Size |
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11. |
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Hypothesis Testing (One-sample) |
Null and Alternative Hypotheses, Test Statistic, Rejection Region, Critical Value, Type I and Type II Error, P-value |
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12. |
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Hypothesis Testing (Two-sample) |
Pooled Variance Test, Separate Variance Test, F-test for Equality of Variance, Paired-difference Test |
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