Synopsis
Section I Introduction
Chapter 1. Applications of Statistics
Chapter 2. Statistical Terms
Descriptive Statistics - Inferential Statistics
Chapter 3. Data Types
- Categorical Data
- Numerical Data
Chapter 4. Data Classification
- Classification of numerical data
- Classification of categorical data
Chapter 5. Data Presentation
- Pictogram
- Pie Diagram
- Bar diagram
- Line diagram
- Histogram
- Frequency polygon
- Ogive curves
- Scatter Diagram
Regression line - Box and whiskers plot:
Chapter 6. Measures of Central Tendency
Chapter 7. Measures of Location
- Percentile
- Decile
- Quartile
Chapter 8. Measures of Dispersion
- Range
- Interquartile Range
- Coefficient of quartile deviation
- Mean Deviation
- Mean square deviation
- Variance and standard deviation
- Coefficient of variance
- Skewness
- Kurtosis
Chapter 9. Sampling Methods
- Sampling Process
- Without replacement (WOR) vs with replacement (WR)
- Probability Sampling
- Non-probability sampling
Section II Tests for Inference
Chapter 10. Statistical Distribution- Continuous
- Normal distribution
- Standard normal distribution:
- Student t-distribution:
- Chi-square distribution:
- F-distribution:
Chapter 11. Sampling Distribution and Hypothesis testing
- Confidence interval:
- Difference in means
- Concept of Z-statistics
- Hypothesis Testing:
Chapter 12. Test of Inference- One Sample or two sample mean
- One sample:
- Two sample:
- Test for homogeneity of variance
- Two small sized sample- Test for inference:
- Test for inference of paired samples:
Chapter 13. Test for Inference- Multiple sample comparisons
- Concept of sum of squares:
- ANOVA one way
- ANOVA two way
Chapter 14. Test for Inference- Categorical Data I
- Tabulation of categorical data
- Testing for significance of individual proportion
- Testing for significance of difference between two proportions
Chapter 15. Test for Inference- Categorical Data II
1xC tables RxC Table 2x2 table Chapter 16. Test for Inferen
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