Statistics
The Department of Statistics is one of the Departments in Government Degree College, Uravakonda and which was established in the year 2006. The Department has highly qualified and motivated faculty members since starting from the department and at present Dr.B.Venkata Ramudu working as Lecturer in Statistics from October 2021 in the department of Statistics. The Department offers B.Sc with combinations of subjects Mathematics, Statistics and Computer Science. The intake capacity for B.Sc.M.S.Cs is 50 plus over and above quota as per the rules of University Grants Commision(UGC).The choice based credit and grading system (CBCS) has been implementing since 2008-09.There were 4 credits for each paper. The duration of the course is three years and, there were there two semesters in each academic year. A student who admitted in the department has to gone through eight papers. This will help the students to understand Statistical Methods and Analysis of the data .
Further, the syllabus of the course of B.Sc. Statistics is designed as per guidelines framed by UGC and relevant to the syllabus of NET / SET/ASO/Statistical Investigator . Live project work is a part of the B.Sc. curriculum which provides students the exposure to industries and other NGO / Semi Govt. / Govt. Institutes for data collection and analysis. Most of the students are coming from rural background and socially weaker sections of the society and completing their graduation and thus the Department is fulfilling the goal of the University and needs of the students i.e. social commitment and excellence.
The thrust areas of Statistics are Advanced Sampling, Operations Research, Quality and Reliability, Actuarial Statistics and Design and Analysis of experiments. The glory of the department is reflected in our alumni holding responsible positions in prestigious fields.
Vission and Mission
S.No |
Name of the Faculty |
Teaching Experience (in years) |
Area of Specialization |
Working Period |
1 |
Sri.P.Narasa Naidu |
4 |
Sampling Theory |
2006-2010 |
2 |
Dr.B.R.Narayana Murthy |
14 |
Acceptance Sampling Plans and SQC |
2010-2021 |
3 |
Dr.B.Venkata Ramudu |
22 |
Operations Research |
2021 to till to date |
Dr.B.R.Narayana Murthy, Lecturer in Statistics, was awarded doctoral degree i.e Ph.D while he was working in the department by the Department of Statistics,S.K.University, Anantapur in 2018.He had five years of research experience and published journals in reputed National and International journals. He also Participated and attended in many seminars and conferences held at different state universities and colleges.
Dr.B.Venkata Ramudu, Lecturer in Statistics, was awarded doctoral degree i.e Ph.D by the Department of Statistics, S.K.University, Anantapur in 2008.He had 14 years of research experience and published journals in the reputed National and International journals. He also Participated and attended in many seminars and conferences held at different state universities and colleges. The details of Journals published and seminars and conferences attended and other programmes completed were given in his personal profile.
2. OBJECTIVE OF THE COURSE |
Statistics is a key to success in the field of science and technology. Today, the students need a thorough knowledge of fundamental basic principles, methods, results and a clear perception of the power of statistical ideas and tools to use them effectively in modeling, interpreting and solving the real life problems. Statistics plays an important role in the context of globalization of Indian economy, modern technology, computer science and information technology and other allied sciences. Statistics is useful to decision making to optimize the problem under study. To enable the student to acquire the skills in solving the real life problems, to attain knowledge of logical thinking, decision making, and analysis of the problems under study.
The main objectives of the course are
Program Outcome (Science Streams):
The Bachelor of Science requires three years of full time study consisting of six semesters. The College offers B.Sc program with the combination of various subjects namely M.S.Cs, M.P.C,M.P.Cs and B.Z.C with science subjects: Chemistry, Physics, Botony, Mathematics, Statistics and Computer Science. The objective of M.S.Cs program is to develop reasoning through unfamiliar problems through critical and analytical thinking and to find a systematic approach in analysing solving problems through teamwork with importance to safe laboratory practice. The students taking admission to these programs of B.Sc. are expected to get equipped with the ability of explaining the basic scientific principles and methods, inculcating scientific thinking and awareness among the student thereby creating in them an ability to handle the unexpected situations of life in a better way.
Program Specific Outcomes(Statistics):
A student, who has taken admission in program of B.Sc. with Statistics as a subject of study is expected to achieve following outcomes: This course is aimed at preparing the students to hope with the latest developments and compete with students from other universities and put them on the right track.
Paper Wise Objectives
PAPER-I: Descriptive Statistics
The objective of this paper is to throw light on the role of statistics in different fields with special reference to business and economics. It gives the students to review good practice in presentation and the format most applicable to their own data.The measures of central tendency or averages reduce the data to a single value which is highly useful for making comparative studies.The measures of dispersion throw light on reliability of average and control of variabilityThe concept of Correlation and Linear Regression deals with studying the linear relationship between two or more variables, which is needed to analyze the real life problems.The attributes gives an idea that how to deal with qualitative data.
PAPER-II: Probability Theory and Distributions
This paper deals with the situation where there is uncertainty and how to measure that uncertainty by defining the probability, random variable and mathematical expectation which are essential in all research areas.
This paper gives an idea of using various standard theoretical distributions, their chief characteristics and applications in analyzing any data.
PAPER-III: Statistical Inference
This paper deals with standard sampling distributions like Chi Square, t and F and their characteristics and applications.This paper deals with the different techniques of point estimation for estimating the parameter values of population and interval estimation for population parameters.In this paper, various topics of Inferential Statistics such as interval estimation,Testing of Hypothesis, large sample tests (Z-test), small sample tests (t-test, F-test, chi-square test) and non-parametric tests are dealt with. These techniques play an important role in many fields like pharmaceutical, agricultural, medical etc.
PAPER-IV: Sampling Techniques and Design of Experiments
The sampling techniques deals with the ways and methods that should be used to draw samples to obtain the optimum results, i.e., the maximum information about the characteristics of the population with the available sources at our disposal in terms of time, money and manpower to obtain the best possible estimates of the population parametersThis paper throw light on understanding the variability between group and within group through Analysis of Variance.This gives an idea of logical construction of Experimental Design and applications of these designs now days in various research areas.
Factorial designs allow researchers to look at how multiple factors affect a dependent variable, both independently and together.
PAPER-V: Applied Statistics
This paper deals the time series on simple description methods of data, explains the variation, forecasting the future values, control procedures.It gives an idea of using index numbers in a range of practical situations, limitations and uses .The vital statistics enlighten the students in obtaining different mortality, fertility rates thus obtaining the population growth rates and construction and use of life tables in actuarial science.