Statistics I (STA 169) is a core Second Semester subject in Tribhuvan University’s BSc CSIT program (current / new course code). It covers descriptive statistics, probability, sampling, random variables, common distributions, correlation, and regression—with computer-lab practice in Excel/SPSS/STATA-style tools.
On this page you’ll find the official STA 169 syllabus. Downloadable notes PDFs will be added when a reliable CSIT notes set is available (CSIT Tutor currently lists syllabus and past papers only for this subject).
Note: Older batches may still see STA 164 on past papers; the syllabus content is largely the same. STA 169 is the current code under the revised grading system.
What you’ll learn
- Scales of measurement, data types, and descriptive statistics
- Probability laws, Bayes theorem, and sampling concepts
- Random variables and mathematical expectation
- Binomial, Poisson, Normal, Exponential, and Gamma distributions
- Correlation, rank correlation, and linear regression
Course snapshot
- Code: STA 169 (current) · formerly STA 164
- Program: BSc CSIT · Second Semester
- Board: Tribhuvan University (IOST)
- Nature: Theory + Lab · Credit hours: 3
- Marks: 60 (theory) + 20 (practical) + 20 (internal)
Start with the syllabus for unit-wise hours. Share or contribute notes if you have a solid Statistics I PDF for CSIT.