Syllabus of Statistics I | STA-108 | BSc CSIT | First Semester | TU

DR Gurung

Statistics I

Course No.: STA-108
Full Marks: 70+10+20
Pass Marks: 28+4+8
Nature of course: Theory (3 Hrs.) + Lab (3 Hrs.)

Course SynopsisConcept of Applied Statistical Techniques and its Applications.

GoalsThis course makes students able to understand Applied Statistical Techniques and their applications in the allied areas.
Download PDF Syllabus Of "Statistics I"
Course Contents:

Unit 1: Sampling Techniques [10 Hrs.]
Types of Sampling; Simple Random Sampling with and without Replacement; Stratified Random Sampling; Ratio and Regression Method of Estimation under Simple and Stratified Random Sampling; Systematic Sampling; Multistage Sampling; Estimation of population total and its Variance.

Unit 2: Non Parametric Test  [16 Hrs.]
Chi-square test: Test of goodness of fit; Test for independence (Categorical Data). Definition of Order Statistics; Run Test; Sign Test; Wilcoxon Matched Pairs Signed Ranks Test; Mann-Whitney U Test; Median Test; Kolmogorov Smirnov Test (One Sample Case); Cochran Q Test; Kruskl Wallis One way ANOVA Test; Friedman Two way ANOVA Test.

Unit 3: Correlation and Regression Analysis  [19 Hrs.]
Partial and Multiple Correlations; Multiple Linear Regressions: Assumptions; Coefficient Estimation, and Significance Test; Coefficient of Determination; Cobb-Dauglas Production Function; Growth Model; Logistic Regression; Autoregressive Model of order One, and Appraisal of Linear Models (Heteroscedasticity, Multicolinearity, Autocorrelation).

1. Theory and practice should go side by side.
2. It is recommended 45 hours for lectures and 15 additional hours for tutorial class for completion of the course in the semester.
3. SPSS Software should be used for data analysis.
4. Home works and assignments covering the lecture materials will be given throughout the semester.

Text Books:
  • Draper, N. and H. Smith, Applied Regression Analysis, 2nd edition, New York: John Wiley & Sons, 1981.
  • Hogg & Tanis, Probability & Statistical Inference, 6th edition, First Indian Reprint, 2002.
  • Gujaratii, D. Basic Econometrics, International edition, 1995.
  • Gibbons, J.D. Nonparametric Statistical Inference. International Student Edition.
  • Siegel, S. Nonparametric Statistics for the Behavioural Sciences. McGraw-Hill, New York.


  • Hollander, M. & Wolfe, Nonparametric Statistical Methods. Johns Wiley & Sons, New York. 
DR Gurung
A Learner (अज्ञान जस्तो ठूलो शत्रु अरु केही छैन।) 🙏🙏
First of all, thank you for taking the time to read my blog. It's much appreciated! If you would like to leave a comment, please do, I'd love to hear what you think!

Suggestions and/or questions are always welcome, either post them in the comment form or send me an email at

However, comments are always reviewed and it may take some time to appear. Always keep in mind "URL without nofollow tag" will consider as a spam.

To add an image:
[image] image_url [/image]

To add a code block:
[code] your_code [/code]

To add a quote:
[quote] your_quote [/quote]

To add a link:
[link] your_link_text | link_url [/link]