Week 1: Introduction of Statistics
Statistics is a form of mathematical analysis that uses quantified models, representations, and synopses for a given set of experimental data or real-life studies. Statistics studies methodologies to gather, review, analyze, and draw conclusions from data. Some statistical measures include the following:
- Mean
- Regression analysis
- Skewness
- Kurtosis
- Variance
- Analysis of variance
Course Material
- Week 1: Introduction of Statistics
- Week 2: Frequency Distribution
- Week 3: Measures of central tendency (Mean)
- Week 4: Median
- Week 5: Mode, G.M and H.M
- Week 6: Measures of Dispersion (Range, Mean deviation)
- Week 7: Variance and Standard Deviation
- Week 8: Coefficient of Variation (C.V)
- Week 9-10: Simple linear regression and Correlation
- Week 11-12; Statistical Inference (Intro to hypothesis testing)
- Week 13: One sample Z and t-tests
- Week 14: Two sample Z and t-tests
- Week 15: Testing of variance (chi square and F-tests)
- Week 16: Probability
- Chapters 14
- Department Social Work
- Teacher
Habiba Mustafa
