DEPARTEMENT OF STATISTICS
Establishment: 1984-08-01
Intake Capacity: 40 for Honours
60 for Generic

Courses Offered

Honours and Generic

Total No. of Teaching Faculty: 4
Total No. of Classrooms with size in sq. meter: 3
Total No. of Laboratories with size in sq. meter: 1
No. of ICT Equipments Available: 2
No. of Books in College Library: 421
No. of Books in Departmental Library: 90
Teaching Plan for All Courses

INTRODUCTION

The department of Statistics was established in the year 1984 only with the general course and later on in 2015 major course was started. However the faculties of this department have also shouldered the responsibility of teaching Business Statistics in B. Com, M. Com. and BBA courses along with teaching the Probability paper of Mathematics Major Course in Non CBCS course. The department share a common teacher’s room with Mathematics department. The common computer lab is used for its practical papers in CBCS curriculum. The department also have a number of books for HS and UG level both for Non CBCS and CBCS course.

VISION

To create a quantitative mindset among the students for all round development of the students and to inculcate the habit of delivering statistical argument.

MISSION

To enrich and enhance the students in the field of handling and analysing data. Moreover enable them to compete globally and render their knowledge in decision makings under uncertain circumstances.

PROGRAMME OUTCOME

Demanding and Highly future Prospects
May disseminate and collaborate with other fields

PROGRAMME SPECIFIC OUTCOMES

B.Sc, with Statistics as Honours subject in the undergraduate course has the following outcomes:
 The students accumulate knowledge on the history and origin of statistics.
The students will be able to study in detail some mathematical topics like calculus, algebra etc.
Students will learn about probability, its distribution and sampling distribution.
Students will learn about different sampling techniques used in surveys.
Along with descriptive statistics students will also learn about inferential statistics.
Topics like Linear Models, Statistical Quality Control, Stochastic Processes, Queuing Theory, Design of Experiments etc.will catalyse them to analyse and interpret real life data to take effective decisions.
Various statistical softwares like SPSS,R Excel, C, C++ etc. will help student to deal with the problems where critical analysis are required to sustain.

COURSE SPECIFIC OUTCOMES

Paper Code Semester Course Outcomes
PAPER: STA-HC-1016
1st Semester Honours Students will be familiar with some basic concepts of Statistics like measures of Central tendency, Dispersion, Moments, Bivariate data, correlation and regression etc.
Understanding Index Numbers in applied field
PAPER: STA-HC-1026
1st Semester Honours Learn the basic concept of differential calculus.
Definite integrals, Double integral, Beta and Gamma functions.
Able to know formation and solution of Partial differential equations.

PAPER: STA-HC-2016 2nd Semester Honours Understand the basic concept of probability, probability distribution and their applications
PAPER: STA-HC-2026 2nd Semester Honours Basic understanding and application of Matrices and Vectors
PAPER: STA-HC-3016
3rd Semester Honours Understand the basic idea of sampling distribution of statistics and tests related to it, Order Statistics and the relationship between the Exact and sampling distribution
PAPER: STA-HC-3026
3rd Semester Honours Acquire the basic concept of sampling, understanding of probability and non-probability sampling and estimation procedures, bias in estimates and standard error of estimates. Acquintant with different official statistics of India and the role of organizations like MOSPI, CSO, NSSO etc.
PAPER: STA-HC-3036
3rd Semester Honours Understand real analysis and different terms related to it, the infinite series and different comparison tests, out limit, continuity and differentiability of functions of several variables. Acquainting with different terms and theorems of numerical analysis
Course Outcomes Department of Statistics (CBCS)

Paper Code Semester Course Outcomes
Paper Code Semester Course Outcomes
PAPER: STA-HC-4016
4th Semester Honours Acquintant with the properties of good estimators and minimum variance unbiased estimator. Understanding, the methods like maximum likelihood, moments, minimum chi-square and their properties and their application.

PAPER: STA-HC-4026
4th Semester Honours Understand the theory of linear estimation and concept of Gauss Markov Theorem, Regression analysis with hypothesis testing, variance and co-variance for fixed effect models and basic concept of prediction.

PAPER: STA-HC-4036
4th Semester Honours Know the concept of statistical quality control, control chart, and rational sub-grouping, preparation of control charts for variables and attributes. Basic knowledge of Six-sigma limit.
PAPER: STA-HC-5016
5th Semester Honours Know about generating function and introduction to stochastic process, Markov chain and classification of states and chains, Poisson process and its properties and queuing model m/m/1 with finite and infinite system capacity
PAPER: STA-HC-5026
5th Semester Honours Understand the history and importance of C- programming.
PAPER: STA-HC-6016
6th Semester Honours Understand the basic principle of design of experiments and basic terms. Applications of CRD, RBD, LSD, split plot design, strip plot design and BIBD. Also concept of factorial experiment.
PAPER: STA-HC-6026
6th Semester Honours Able to understand the bi-variate and multivariate distribution and their properties. Acquire the knowledge of different non-parametric test.


Paper Code Semester Course Outcomes
PAPER: STA- HE- 5016
5th Semester Honours Have knowledge of Operation Research, its origin, phases and development. Also learn the LPP its mathematical formulation, solution and applications. Acquire knowledge about Transportation problems, Game theory and Inventory Management like EOQ model with its variations, ABC
PAPER: STA- HE- 5026
5th Semester Honours Have knowledge about Time series data, its components and applications in real life. Able to determine the Trend values using different methods and determine and eliminate Seasonal variations presents in a data set using different methods. Also basic understanding of forecasting.
PAPER: STA-HE- 6024
6th Semester Honours Acquire the knowledge of population composition, dependency ratio, different mortality measurements like Crude death rate(CDR), Specific death rate(SDR), Standardized death rate (STDR), Infant mortality rate (IMR) and different fertility measurements like Crude birth rate (CBR), General fertility rate(GFR), Total fertility rate(TFR), Gross reproduction rate (GRR), Net reproduction rate(NRR). Also through this paper students are able to understand how to construct life tables and what are stationary, stable populations etc.
PAPER: STA- HE- 6046
6th Semester Honours Have knowledge to identify a real life problem for project. Able to collect data from real life situation, analyzed the data and present in the form of statistical report.





Paper Code Semester Course Outcomes
PAPER: STA-HG/RC-1016
1st Semester Understand the various methods of collection, tabulation and graphical presentation of data with basic measures of central tendency and dispersion. Acquire the basic knowledge of correlation, regression and finite difference.
PAPER: STA-HG/RC-2016
2nd Semester Learn basic concept of probability and related theorems and random variables with their expectation, moments and variance. Acquire the knowledge of discrete and continuous standard distributions
PAPER: STA-HG/RC-3016
3rd Semester Understand the concept of hypothesis non parametric tests, categorical data analysis, tests of association and goodness of fit. Acquire the basic concept of design of experiments and techniques of analysis of CRD and RBD.

PAPER: STA-HG/RC-4016
4th Semester Learn the concept of time series, different components and their measurements, different types of index numbers and their constructions. Acquire the knowledge of statistical quality control, control charts for variables and attributes. Knowledge of population, fertility, mortality and concept of demand analysis.
PAPER: STA-RE-5016
5th Semester Know the concept of operation research, LPP, graphical and simplex method of solving LPP. Understand the techniques of solving transportation problem and problems of game theory. Also acquire the knowledge inventory management, EOQ model and related terms.
PAPER: STA-RE-6016
6th Semester Have the concept of Econometric models for two or more variable, the least square assumptions and estimation of regression parameters and idea of multiple regression analysis, estimation and inference.


Course Outcomes Department of Statistics (FYUGP-NEP)
Paper Code Semester Course Outcomes
PAPER: STA 101
1st Semester Honours/Core:
FYUGP (NEP 2020) Under Gauhati University Understanding the methods of data collection. Understanding the concept of central tendency, dispersion and location. Understanding the basic probability theorem and its applications. Also understanding concept of random variables and expectations of univariate random variable.
PAPER: STA 201
2nd Semester Honours/Core: FYUGP (NEP 2020) Under Gauhati University
Understanding of bi-variate data analysis including correlation and regression and principle of least squares. Understanding of basic probability distributions and their applications. Also able to acquire the basic concept of hypothesis and testing. Able to understand the principles of finite differences and interpolation with Newton-Raphson, divided difference, Simpsons rule etc.
STA301: Survey Sampling & Design of Experiments -I: FYUGP (NEP 2020) Under Gauhati University
Acquire the knowledge about the techniques of data collection and able to know the basic design of sampling schemes.
Multi Disciplinary(For Commerce Stream): Business Statistics: FYUGP (NEP 2020) Under Gauhati University
learn about Statistical data and descriptive Statistics. Also study about different theory of probability and probability distributions, correlation and regression analysis, time series analysis. Will have the concept of sampling, sampling distributions and estimation and testing of hypothesis.
STA11 04C: Descriptive Statistics: FYUGP (NEP 2020) Under Bhattadev University
Understanding the methods of data collection. Understanding the concept of central tendency, dispersion and location. Understanding of bi-variate data analysis including correlation and regression and principle of least squares.
STA1104M:Descriptive Statistics: FYUGP (NEP 2020) Under Bhattadev University
Understanding the methods of data collection. Understanding the concept of central tendency, dispersion and location. Understanding of bi-variate data analysis including correlation and regression and principle of least squares.
STA1103ID: Descriptive Statistics: FYUGP (NEP 2020) Under Bhattadev University
Understanding the methods of data collection. Understanding the concept of central tendency, dispersion and location. Understanding of bi-variate data analysis including correlation and regression and principle of least squares.
STASE 3014: Statistical Data Analysis using software packages: CBCS
Will be able to expand their knowledge in statistics and probability using SPSS software.
STASE 4014: Statistical Data Analysis using R: CBCS
Will be able to expand their knowledge in statistics and probability through the study and practice of data analysis and graphical interpretation using R.
SEC (1st Sem): Data Collection and Presentation: FYUGP (NEP 2020) Under Gauhati University
Understand the use of data, presentation of data using MS Excel.
SEC (2nd Sem): Statistical Techniques for research methods: FYUGP (NEP 2020) Under Gauhati University
Understand different representation and analysis of data with the various statistical tools.
SEC (3rd Sem): Statistics for data analysis using software package: FYUGP (NEP 2020) Under Gauhati University
Acquaint with the basic concepts of data, different techniques of presentation. Be able to perform different statistical tests for data analysis, draw statistical inference and interpret the result.
SEC (1st Sem): Computational statistics using excel: FYUGP (NEP 2020) Under Bhattadev University
Understand the use of data, presentation of data using MS Excel.

MECHANISM FOR CONTINUOUS INTERNAL EVALUATION(CIE)

Mechanism of internal assessment is transparent and robust in terms of frequency and mode:
• Our college has an academic calendar reflecting different plans and programmes of the college for an academic session. The tentative time period for holding the internal examination (sessional) for both odd and even semesters are mentioned in the said calendar.
• Additionally, the departmental calendar of activities and perspective educative plan also provide the students with all necessary information regarding the departmental activities.
• Thus, publication of academic calendar and departmental perspective educative plan guide the students on different academic activities at the college level.
• The mechanism of internal assessment (IA) is a two way process conducted at the college as well as departmental level.
• Internal assessment (IA) is conducted with a total weightage of 20% of the total marks allotted to a course /paper i.e. 20 marks for a 100 marks paper.
• The sessional examination for both odd and even semester are conducted centrally by the college under the supervision of a duly constituted examination board. The examination board serves as a nodal agency for implementing all examination related issues as per the guideline and course curriculum of the affiliating university.
• The sessional or mid-term examinations are conducted for 50% of the total marks allotted for internal assessment of a course/ paper i.e. 10 marks out of 20 marks allotted for internal assessment.
• For convenience of setting question papers and covering the syllabus, the sessional examinations are held for 30 marks and the marks secured by the students are proportionately converted to be out of 10 marks.
• The duration of the examination is of one hour and twenty minutes. The question papers are set by the concern teacher of the paper/course.
• The department follows the practice of showing the evaluated answer scripts to the students and providing necessary suggestions for further improvement of the students. It helps the students to overcome any level of difficulty faced by them.
• In addition to the sessional examination the department encourages the teachers to conduct special class tests preferably for each unit of the course covered by the concerned teachers. The tests are meant to provide the students with necessary inputs regarding their level of knowledge on the subject matter of the topics covered. The department stress on holding minimum 2 (two) class tests per semesters.
• Based on class attendance, 20% of 20 marks are allotted to internal assessment. Hence, 4 marks are awarded to the students based on class attendance. The criteria for awarding marks under this category is: 1 marks to 76% to 80% class attendance; 2 marks to 81% to 85% class attendance; 3 marks to 86% to 90% class attendance and 4 marks to 91% & above class attendance.
• On the basis of performance of the students on home assignments, seminars, group discussion, field work, co-curricular and extra-curricular activities, 30% of 20 marks are awarded to the students. Hence, 6 marks are allotted to this category.
• The department believes in formative assessment methods. Continuous periodic assessments of all the students are carried out by conducting quizzes, cross questioning, class test, MCQ based test, and group discussion among the students.
• Performance on the experiments done in the practical classes by the students is assessed by constant monitoring. Viva-voce is also conducted to ascertain their level of understanding.