Section I Introduction
Chapter 1. Applications of Statistics
Chapter 2. Statistical Terms
Descriptive Statistics Inferential StatisticsChapter 3. Data Types
Categorical Data Numerical DataChapter 4. Data Classification
Classification of numerical data Classification of categorical dataChapter 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
Mean Median ModeChapter 7. Measures of Location
Percentile Decile QuartileChapter 8. Measures of Dispersion
Range Interquartile Range Coefficient of quartile deviation Mean Deviation Mean square deviation Variance and standard deviation Coefficient of variance Skewness KurtosisChapter 9. Sampling Methods
Sampling Process Without replacement (WOR) vs with replacement (WR) Probability Sampling Non-probability samplingSection 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 wayChapter 14. Test for Inference- Categorical Data I
Tabulation of categorical data Testing for significance of individual proportion Testing for significance of difference between two proportionsChapter 15. Test for Inference- Categorical Data II
1xC tables RxC Table 2x2 tableChapter 16. Test for Inferen
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