Friday 20 September 2019

Regarding Essay Competition...




DEADLINE TO SUBMIT ESSAY IN WELL WRITTEN FORMAT SPECIFIED ACCORDING TO THE ABOVE GUIDELINES IS 30TH SEPTEMBER, 2019.

Saturday 31 August 2019

Attended one day workshop on Revised syllabus of B. Com II Business Statistics

Attended one day workshop on Revised syllabus of B. Com II Business Statistics Paper I and Paper II at Department of Statistics,  Dattajirao Kadam Arts, Science and Commerce College,  Ichalkaranji 
31st August 2019


Friday 30 August 2019

Regarding joining google classrooms...

Dear students,
        Please join the Business Statistics Google classroom using the following class code.
 x5am5by

Sunday 28 July 2019

Prize Distribution Function of SUSTA Written Quiz 2019

     It is our pride moment to know that our B. Com. II students secured first three Prizes in Statistics Written Quiz 2019 at district level. The prize distribution ceremony was conducted in Department of Statistics, Shivaji University Kolhapur. Prof. Dr. V. B. Ghute, Registrar, Punyashlok Ahilyadevi Holkar Solapur University, Solapur were graced the function.

Miss. Sharvani Pandhare (First)
Mr. Ruturaj Patil (Second)
Miss. Mrunal More (Third)


     The quiz was organized in four districts (Kolhapur, Sangli, Satara and Solapur) by Shavaji University Statistics Teaches Association on 3rd March, 2019.


Sunday 23 June 2019

SUSTA Basic Statistics Quiz 2019 Result

Shivaji University Statistics Teachers' Association

B. Com. II  -  Basic Statistics Quiz - 2019
Centre: D.R.K. College of Commerce, Kolhapur
Date: 03rd March, 2019
Time: 12.00 noon to 1.30 pm



Sunday 21 April 2019

Why Regression Analysis Is The Backbone For Enterprises by Ambika Choudhuri

https://www.analyticsindiamag.com/why-regression-analysis-is-the-backbone-for-enterprises/

Regression Analysis, a statistical technique, is used to evaluate the relationship between two or more variables. Regression analysis helps an organisation to understand what their data points represent and use them accordingly with the help of business analytical techniques in order to do better decision-making. In this analysis, you will understand how the typical value of the dependent variable changes when one of the independent variables is varied, while the other independent variables are held fixed. Business analysts and data professionals use this powerful statistical tool for removing the unwanted variables and select the important ones. There are several ways that an organisation use regression analysis and some of them are discussed below.


1| Decision-making
Organisations, in order to run smoothly as well as efficiently, need better decisions and must understand the effects of the decision taken. Organisations collect data about sales, investments, expenditures and other parameters and analyse it for improvement. The regression analysis helps the organisations to make sense of the data which is then used for gaining insights into an organisation. Business analysts and data professionals use the regression analysis to make strategic business decisions.   

2| Optimisation Of Business

The motive of regression analysis is to turn the collected data into actionable insights. The organisations are adopting data-driven decision making which eliminates the old-school techniques like guesswork or assuming a hypothesis which eventually improves the performance of work in an organisation. This analysis provides practical assistance to the management unit of the organisation. With lots of data available, the data can be analysed as well as understood to gain efficient insights and work smartly.
3| Predictive Analysis
Organisations use regression analysis in order to predict future events. In this process, the business analysts predict the man of the dependent variables for given specific values of the dependent variables. The multivariate linear regression is used for various important purposes such as forecasting sale volumes or create growth plans, etc. According to this article, the general procedure for using regression in order to make good predictions are mentioned below:
  • Research the subject-area so that you can build on the work of others. This research with the subsequent steps.
  • Collect data for the relevant variables.
  • Specify and assess your regression model.
  • If you have a model that adequately fits the data, use it to make predictions.

4| Risk Analysis

Most of the time while analysis data, the analyst make mistakes and made a confusion between correlation and causation. It is important to note and understand that correlation is not causation. The regression analysis is used by the organisations to assess the risk in the financial domain and other such domains and thus guide to make crucial business decisions. The linear regression analysis developed the capital asset pricing model which helps in taking financial decisions.

5| Understand The Failures

Besides the analysis of data, regression analysis also helps an organisation to understand any failure and learns from it to correct in the future analysis. Thee regression analysis basically provides quantitative support for the decision-making process. Predicting success can be said as one of the main assets of regression analysis such as analysing the data points of previous sales data as well as current sales data in an organisation to understand and predict the future success.


Use Cases

Pharmaceutical Companies
In pharmaceutical companies, regression analysis is used to analyse the quantitative stability data for the retest period or estimation of shelf life. In this approach, the nature of the relationship between an attribute and time determines whether the data should be transformed for linear regression analysis or non-linear regression analysis.

Finance

Simple linear regression is also known as Ordinary Least Squares (OLS) provides an overall rationale for the placing of the line of the best fit among the data points which are being studied. This tool is commonly used in forecasting and financial analysis. Another application such as the statistical method is fundamental to the Capital Asset Pricing Model (CAPM) which describes the relationship between the expected return and risk of investing in a security.

Credit Card

In the credit card company, regression analysis helps in understanding various factors like customer’s risk of credit default, expected consumer behaviour, prediction of credit balance, etc. and based on these results the company implements specific EMI options while minimising the default among risky customers.

Saturday 30 March 2019

Departmental Activities at a Glance


DEPARTMENT OF STATISTICS
Academic Year 2018-2019

Departmental Activities at a Glance
  • Felicitation of Prize Winners of SUSTA Quiz 2018 in Prize distribution ceremony conducted by Shivaji University Statistics Teachers Association at Department of Statistics, Shivaji University, Kolhapur. (29th July, 2018)
  • Felicitation of Ms. Komal Balkrishna Kadam for securing 50 out of 50 marks in Business Statistics Paper II, B. Com II, Sem. IV, Shivaji University Examinations, April 2018.
  • Participation of students in Lead college workshop on Recent Trends in Statistics organized by Rajaram College Kolhapur (4th September, 2018)
  • Participation in One day Trainers Training Programme of Avishkar 2018-2019 organized by Shivaji University Kolhapur in association with D. R. Mane Mahavidyalaya, Kagal. (1st November, 2018)
  • Felicitation of Ms. Vidyashree R. Purohit for securing First rank in Avishkar 2018-2019 Research Project Competition at Kolhapur District level in the category Humanities, Languages, Fine arts and Education. (27th December, 2018)
  • Participation of students in B. Com. II Basic Statistics Quiz 2019 organized by Shivaji University Statistics Teachers Association (SUSTA) at D. R. K. College of Commerce, Kolhapur. (3rd March, 2019)
  • Three Online Assignments for B. Com. II students on Business Statistics Paper II. (March, 2019)
  • Organization of Remedial classes on Business Statistics Paper I and Business Statistics Paper II (19th March to 25th March, 2019)
  • Continuously engaged in activities comes under mentoring scheme.
  • Continuous updating activities conducted by department on departmental blog.
  • Guidance on submitting feedback on syllabus online. 

 Our Faculty member is actively participated or engaged in the following activities or committees work throughout the academic year 2018-2019
  1. B. Com. I Admission Committee: Member
  2. Time Table Committee: Member
  3. Attendance committee: Member
  4. IQAC: Member
  5. NAAC Criterion I: Member
  6. NAAC Criterion I and criterion VII: Adviser
  7. Feedback Analysis Committee: Member
  8. Alumni Association Committee: Member
  9. D.R.K. Statistics Forum: Chairman
  10. Stage and Seating Arrangement Committee for Annual Prize distribution function: Member
  11. Stage and Seating Arrangement Committee for Cultural Day function: Member
  12. Stage and Seating Arrangement Committee for Graduation Day Celebration Function: Member
  13. B. Com. II, Division E: Class Mentor
  14. Organizing Committee Member of National Seminar on Trends and Practices for Sustainable Development in Commerce and Economics
  15. Actively participated in celebration of Birth Anniversary of Dr. Deshbhakt Ratnappa Kumbhar
  16. Actively participated in celebration of Death Anniversary of Dr. Deshbhakt Ratnappa Kumbhar
  17. Actively participated in sports rally on the occasion of Death Anniversary of Dr. Deshbhakt Ratnappa Kumbhar
  18. Participated in Human Chain to aware the voters organized under the programme ‘Awareness of Voters’
  19. Actively participated in celebration of Teachers Day
  20. Actively participated in celebration of Traditional Day
  21. Actively participated in celebration of Cultural Day
  22. Actively participated in celebration of Annual Sports Day
  23. Actively participated in celebration of Independent Day
  24. Actively participated in celebration of Republic Day
  25. Actively participated in celebration of Consumer’s Day
  26. Actively participated Tree Plantation Programme
  27. Actively participated in Campus cleaning Programme
  28. Actively participated in Blood Donation Camp
  29. Actively participated in Health Check-up Programme
  30. Actively participated in Distribution of Lokshahi Certificates among the B. Com. II, Division E students.
  31. Actively participated in Stock Taking Activity/Programme in college premises.
  32. Worked as Junior supervisor for Shivaji University Examination October 2018 and March/April 2019.
  33. Worked as Invigilator for two MPSC examinations conducted at D. R. K. College of Commerce, Kolhapur centre.
  34. Participation in Collection of Students Feedback about Junior College Teachers.



Tuesday 26 March 2019

Remedial Classes conducted for B. Com II students, Business Statistics Paper I and Paper II

Remedial classes for B. Com. II, Business Statistics Paper I and Paper II were conducted by Dr. N. H. Jadhav.