About Department

The Department of Statistics was established in 1977. The Department was launched B.Sc.-I course in June 1977 and B.Sc. II course in June 1978 under Shivaji University, Kolhapur. The B.Sc. III course was launched in June 2016.

The Department offers courses B.Sc.-I, B.Sc.-II and B.Sc.-III. The Department also offers various Interdisciplinary courses B.Com-II, B.C.S-I, B.B.A.-II. The Department actively participated in written Quiz competition (B.Sc.-I, B.Sc.-II, B.Sc.-III, B.Com.-II & B.C.S.-I), Oral Statistics Quiz (B.Sc.-II & B.Sc.-III) and Two-Day Residential Statistics Camp (B.Sc.-II & B.Sc.-III) organized by Shivaji University Statistics Teachers Association (SUSTA).  The Department Carried out many student centered activities like seminars, Projects, Advance and Slow Learners Batch for B.Sc.-I, B.Sc.-II.

Many alumni of this Department are currently working in all over India. The department has two laboratories with 29 laptops, 2 projectors and 50 electronic calculators. The Department has its own Student Library in which various books of Statistics are available.

Presently in Department six CHB Assistant Professors are working. The Department has an excellent record of academic results. Now-a-days, Use of Statistics is becoming more interdisciplinary in nature, deriving its strength from various fields of research and applications. Department is trying to contribute to the development of this subject by innovative teaching - learning with various research activities.

 Objectives

  • To run Statistical software “Application of MS-EXCEL in Statistics” to Students for data analysis
  • To run  Statistical software’s “Statistical data analysis using R software” to Students for data analysis
  • Laptops are used to doing a practical’s.
  • To making academic projects, seminars for B.Sc. II and B.Sc. III students.
  • Online libraries and other websites allow students to download whole books online.
  • A student can take notes in class, type up assignments, share notes.
  • Digital classroom enables students to watch video clips relating to actual syllabus.

Course Outcome

Course

Outcomes

 

 

B.Sc.-I
(Semester-I)

By the end of course the Students will be able to:

  1. Compute various measures of central tendencies, dispersion, moments, skewness, kurtosis and to interpret them.
  2. Analyze data pertaining to attributes and to interpret the results.
  3. Distinguish between random and non-random experiments.
  4. Find the probabilities of various events.
  5. To understand concept of conditional probability and independence of events.

 

B.Sc.-I
(Semester-II)

By the end of course the Students will be able to:

  1. Compute correlation coefficient, interpret its value.
  2. Compute regression coefficient, interpret its value and use in regression analysis.
  3. Compute various index numbers.
  4. Apply discrete probability distributions studied in this course in different situations.
  5. Distinguish between discrete variables and study of their distributions.
  6. Know some standard discrete probability distributions with real life situations.
  7. Understand concept of bivariate distributions and computation of related probabilities

 

 

B.Sc.-II
(Semester-III)

By the end of course the Students will be able to:

  1. Understand concept of discrete and continuous distributions with real life situations.
  2. Distinguish between discrete and continuous distribution.
  3. Find various measures of r.v. and probabilities using its probability distributions.
  4. Know the relations among the different distributions.
  5. Understand the concept of Transformation of Univariate and Bivariate continuous r. v.
  6. Understand the concept of Multiple Linear Regression, Multiple correlation and partial correlation.
  7. Know the concept of sampling theory.
  8. Understand the need of Vital Statistics and concept of mortality and fertility.

 

 

B.Sc.-II
(Semester-IV)

By the end of course the Students will be able to:

  1. Know some standard continuous probability distributions with real life situations.
  2. Distinguish between various continuous distributions.
  3. Find the various measures of continuous r. v. and probabilities using its probability distributions.
  4. Understand the relation among the different distributions.
  5. Understand the Chi-square, t and F distributions with their applications and inter relations.
  6. Know the concept and use of time series,
  7. Understand the meaning, purpose and use of Statistical Quality Control, construction and working of control charts for variables and attributes.
  8. Apply the small sample test and large sample test in various situations.

 

 

B.Sc.-III
(Semester-V)

By the end of course the Students will be able to:

  1. Know some Univariate Continuous and Multivriate Probability Distributions.
  2. Know some Truncated Distributions and Bivariate Normal Distribution.
  3. Understand the concept of point estimation and properties of estimator.
  4. Understand the concept of Likelihood, Sufficiency and Cramer Rao Inequality.
  5. Find estimators for unknown parameters by using Methods of Estimation.
  6. Know the Basic terms and principles of design of experiments.
  7. Know the basic concept of Completely Randomized Design (CRD), Randomized Block Design (RBD) and Latin Square Design (LSD).
  8. Find Efficiency of design, understand concepts of ANOCOVA and Factorial Experiments.
  9. Understand the concept of Linear programming, Solution of L.P.P. and Duality Theory.
  10. Find solution of Transportation and Assignment Problems.
  11. Know the Decision Theory and Simulation Techniques.

 

 

 

B.Sc.-III
(Semester-VI)

By the end of course the Students will be able to:

  1. Understand the concept of Order Statistics
  2. Know the concept of Convergence and Limit Theorem.
  3. Understand the concept of Finite Markov Chains and Queing Theory.
  4. Obtain confidence Interval for unknown parameter.
  5. Find the confidence interval population parameter.
  6. Understand the concept of Parametric Tests, Non- parametric Test and Sequential Tests.
  7. Know Basic Terminology and concept of Simple Random Sampling, Stratified Sampling, Systematic Sampling, Cluster Sampling, Two Stage and Multi Stage Sampling.
  8. Understand the concept of Sampling Methods using Auxiliary variables.
  9. Know the Quality Tools, process control and Product Control.
  10. Know the Data transformation, Data Discretization, Data Visualization, Data understanding and data cleaning tools.
  11. Understand the process of Data Mining.

 

Program Specific outcome

1. Good opportunities for placement in private and Government Sectors.
2. Good opportunities for research in collaboration with Government and Non-government Organization.

Services , Instruments & Collaboration

Services Offered

  • The Department has two Well-equipped laboratories.
  • Department has 2 Computers, 29 Laptops, 2 printers, 2 Projectors, 50   electronic calculators and Statistical Charts & Tables.
  • Commercial statistical software available: R-software.
  • Internet access to Staff and Students.
  • A good number of books available in the college library.
  • In addition to college Library, the Department has its own Student Library in which various books of Statistics are available.

 

Students Progression


Year

No. of students

M.Sc. in Shivaji  University

M.Sc. in Other University

M.Sc. in College

Job in Industry

Total

2018-2019

50

05

03

07

02

17

 

Research

Year: 2017-18

  • Ramesh Khatana and Annasaheb Suryawanshi (2017). “Survival analysis of customers in telecommunication companies by using Cox proportional hazards regression model” International Journal of Multidisciplinary Research and Development, ISSN: 2349-4182, Volume 4, Issue 4, 121-126.
  • Ramesh V. Khatana and Annasaheb M. Suryawanshi (2017). “Comparison of Customer Survival Probabilities in Telecommunication Companies by Using Kaplan-Meier Method” International Science Symposium on Recent Trends in Science and Technology Organized by Christ College, Rajkot & Sponsored by DST, Govt. of India, ISBN: 9788192952123, 247-254.
  • Annasaheb M. Suryawanshi and Girish C. Bhimani (2018). “Comparison of three estimation methods for Frechet distribution”, International Journal of Multidisciplinary Research and Development, ISSN: 2349-4182, Volume 5; Issue 1, 38-41.
  • Vitthal H. Sattegiri and Annasaheb M. Suryawanshi (2018). “Comparison of customer satisfaction level among Hero, Honda, TVS and Bajaj Two wheeler: A case study of Rajkot city”, International Journal of Advanced Science and Research, ISSN: 2455-4227, Volume 3, Issue 2, 94-96.

Year: 2018-19

  • Pandkar N. S. & Kore B. G. (2019). “A Statistical study of crime in Maharashtra state” International Journal of Research and Analytical revives, ISSN: 2348-1269, special Issue,626-629.
  • Musale S. N. & Kore B. G. (2019). “Study on role of modifiable factors affecting occurrence of coronary heart disease” International Journal of Research and Analytical revives, ISSN: 2348-1269, special Issue, 648-653.
  • Suryavanshi P. R. & Kore B. G. (2019). “Various factors affecting on success of shopping mall in Solapur city” International Journal of Research and Analytical revives, ISSN: 2348-1269, special Issue, 643-647.
  • Sule D. G. & Kore B. G. (2019). “Customer satisfaction towards Hero motocorp bikes: A case study in Vita city” International Journal of Research and Analytical revives, ISSN: 2348-1269, special Issue, 621-625.

 

ACADEMIC CALENDAR: 2019-20

Sr. No.

Activity

Date

  1.  

Departmental Meeting

20 / 07 / 2019

  1.  

P. V. Sukhatme Birth anniversary

27 / 07 /2019

  1.  

B.C.S. I -Unit Test-1, P-I, P-II

August, 2019

B.Sc. I-Unit Test-1, P-I, P-II

B.Sc. II-Unit Test-1, P-V, P-VI

B.Sc. III-Unit Test-1, P-IX, P-X, P-XI, P-XII

B.B.A. II- Unit Test-1, P-I

B. Com. II - Test-1, P-I

  1.  

B.C.S. I -Unit Test-2, P-I, P-II

September, 2019

B.Sc. I-Unit Test-2, P-I, P-II

B.Sc. II-Unit Test-2, P-V, P-VI

B.Sc. III-Unit Test-2, P-IX, P-X, P-XI, P-XII

B.B.A. II- Unit Test-2, P-I

B. Com. II – Unit Test-2, P-I

  1.  

B. B.A. II – H.A, P-I

October, 2019

Departmental Meeting

Guest Lecture

Seminar for B.Sc. II Students

Seminar for B.Sc. III Students

  1.  

Departmental Meeting

December, 2019

B.Sc. I-Unit Test-1, P-III, P-IV

B. Com. II - Test-1, P-II

B.Sc. II-Unit Test-1, P-VII, P-VIII

B.Sc. III-Unit Test-1, P-XIII, P-XIV, P-XV, P-XVI

B.C.S. I -Unit Test-1, P-III, P-IV

B. B.A. II – Unit Test-1, P-II

Short Term Course in Statistical Data Analysis using R Software For B.Sc. III Students

Short Term Course in Statistical Data Analysis using LibreOffice For B.Sc. II Students

Statistics Camp-2020 for B. Sc. II

  1.  

B.Sc. I-Unit Test-2, P-III, P-IV

January, 2020

B. Com. II - Test-2, P-II

B.Sc. II-Unit Test-2, P-VII, P-VIII

B.Sc. III-Unit Test-2, P-XIII, P-XIV, P-XV, P-XVI

B.C.S. I -Unit Test-2, P-III, P-IV

B. B.A. II – Unit Test-2, P-II

Guest Lecture

Oral Statistics Quiz-2020 for B. Sc. II

Study Tour for B.Sc. II & B. Sc. III

  1.  

Seminar for B.Sc. II Students

February, 2020

Seminar for B.Sc. III Students

Projects for B.Sc. III Students

Fisher’s Birth Anniversary

  1.  

Written Statistics Quiz-2020

March, 2020

Departmental Meeting

 

 

Timetable

Acheivements

DeptARTMENT FacultIES


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