Statistics CSS Syllabus 2025 (Download PDF)
No matter either you are a new aspirant or old one preparing for your next attempt, you can go with statistics as your optional subject if you find interest in it. Here is the syllabus for statistics css exam, consisting of 100 marks. You will need to understand all concepts to get ready to score well in your exam.
Statistics CSS Syllabus 2025
Statistics Part – I (50 Marks):
- Descriptive Statistics:
- Definition, importance, and scope of Statistics
- Descriptive and Inferential Statistics
- Presentation of data: Tables, Graphs, and Charts
- Stem-and-leaf diagrams
- Box and Whisker Plots
- Basic Probability:
- Probability concepts
- Additive and Multiplicative laws
- Conditional probability
- Bayes’ theorem
- Mathematical expectation
- Probability Distributions:
- Discrete and continuous random variables
- Binomial, Poisson, and Normal distributions
- Properties and applications
- Regression and Correlation Analysis:
- Simple linear regression
- Least squares estimation
- Correlation coefficient
- Rank correlation
- Sampling Techniques:
- Population and sample
- Sampling methods: Simple random, stratified, and systematic sampling
- Sampling errors
Statistics Part – II (50 Marks):
- Statistical Inference:
- Estimation: Point and interval estimates
- Confidence intervals
- Hypothesis testing
- Type I and Type II errors
- p-values
- Non-Parametric Methods:
- Sign test
- Wilcoxon tests
- Kruskal-Wallis test
- Chi-square test
- Design and Analysis of Experiments:
- Principles of experimental design
- Completely randomized design
- Randomized block design
- Factorial experiments
- Time Series Analysis:
- Components of time series
- Trend analysis
- Seasonal variations
- Moving averages
- Index Numbers:
- Construction and uses
- Laspeyres and Paasche indices
- Cost of living index
CSS Recommended Books for Statistics
Recommended Books for CSS Pure Mathematics
| Subject | Book Title | Author |
|---|---|---|
| Modern Algebra | Contemporary Abstract Algebra | Joseph A. Gallian |
| Modern Algebra | Abstract Algebra | David S. Dummit & Richard M. Foote |
| Linear Algebra | Linear Algebra and Its Applications | Gilbert Strang |
| Linear Algebra | Linear Algebra Done Right | Sheldon Axler |
| Calculus | Thomas’ Calculus | George B. Thomas, Maurice D. Weir |
| Calculus | Calculus | James Stewart |
| Real Analysis | Principles of Mathematical Analysis | Walter Rudin |
| Real Analysis | Real Analysis | H.L. Royden & Patrick Fitzpatrick |
| Complex Analysis | Complex Variables and Applications | James Ward Brown & Ruel V. Churchill |
| Complex Analysis | Complex Analysis | Lars Ahlfors |
Recommended Books for CSS Statistics
| Subject | Book Title | Author |
|---|---|---|
| Descriptive Statistics | Statistics for Business and Economics | Paul Newbold, William L. Carlson, Betty Thorne |
| Probability | A First Course in Probability | Sheldon Ross |
| Probability Distributions | Introduction to Probability Models | Sheldon M. Ross |
| Regression Analysis | Applied Linear Regression | Sanford Weisberg |
| Sampling Techniques | Sampling: Design and Analysis | Sharon L. Lohr |
| Statistical Inference | Statistical Inference | George Casella, Roger L. Berger |
| Non-Parametric Methods | Nonparametric Statistical Methods | Myles Hollander, Douglas A. Wolfe, Eric Chicken |
| Experimental Design | Design and Analysis of Experiments | Douglas C. Montgomery |
| Time Series Analysis | Introduction to Time Series and Forecasting | Peter J. Brockwell, Richard A. Davis |
| Index Numbers | The Theory and Practice of Econometrics | George G. Judge |