Mahatma Gandhi Vidyamandir's

Maharaja Sayajirao Gaikwad Arts, Science & Commerce College

Malegaon Camp,Tal. Malegaon, Dist. Nashik (MS)
Affiliated to Savitribai Phule Pune University, Pune
(Estd.1959)

Department of Statistics

About the Department

The department of Statistics was established in the Year 1982 at the general level (FY/SYBSC) with single faculty member prof. D. S. Attarde under the following vision & mission

Vision :

To empower and enrich students about the scope of statistics and it’s applications in day to day life. To develop research culture among the students by collecting real life data and its analysis using statistical techniques & available software

Mission :

1)To develop student’s skill in real life data collection
2)To empower student in proper selection of sampling techniques
3)To guide students regarding statistical analysis of any kind of data, by using various statistical techniques & software.
4)To develop student’s competency in testing of hypothesis.
5)To develop competitive skill among the students by conducting Statistics Quizes.

Later the specialization started in 2018 – 19 as per the demand of the various stakeholders from the society under the leadership of Dr. M. T. Lomate (BOS member of SPPU, Pune). The department has the legacy of the faculty members who have been former Members of the Board of Studies (SPPU)
The department had received the services of highly qualified staff since it’s inception namely Dr. M. T. Lomate & Prof. D. S. Attarde (Both of them are retired from their services) . Currently Mr. Ansari Mohammed Saeed (M. Sc. Gold Medalist, M. Phil) is the head of the department. The department has experienced and research-oriented faculty with a number of research publications in International, National & UGC-CARE, reputed Journals
The department is well equipped with Computers, LCD projector, Scientific Calculators and internet facility. To improve the competitive skill among the students every year department conducts stat- Quiz in collaboration with PUSA (Pune University Statistics Teachers Association) Pune & the Department of Statistics Pune.
The department is also engaged in the analysis of projects on real life data carried out by the students. The department has conducted guest lectures of resource persons from various colleges, across the affiliated university.
The department has also given services to FYBCOM and M. Sc. (Zoology) in the subjects Business Mathematics & Biostatistics respectively.

Teaching Faculty

Sr.No. Name of the Faculty Designation Qualification Teaching Experience Link
1 Ansari Mohammed Saeed Mohammed Ishaque Head & Associate Professor M. Sc.(Gold Medalist) M. Phil 28 years view

Research Publications:

A research paper published / presented on Title

  • 1.Integer Programming Problem with progressive series & Fibonacci series using TORA package
  • 2.New Modified approach to find Initial Basic Feasible Solution (IBFS)To a transportation Problem
  • 3.New Modified approach to find Initial Basic Feasible Solution (IBFS)To a transportation Problem using Mode
  • 4.Statistical Analysis on Demographic status of slum area and urban area of Malegaon
  • 5.Place of Core Values in Higher Education
  • 6.Dyes from Plants : north East region from Nashik district, Maharashtra
  • 7.A Statistical Analysis on Population Growth and Food Security in India
  • 8.National Education Policy 2020 : A Statistical Analysis Report

    • Experience as Resource Person for:

  • 9.Lecture on SOP at City College, Malegaon
  • 10.Resource person on Research Methodology course workshop at MSG College, Malegaon –
  • 11.Resource Person on the topic “ Data analysis and Testing of Hypothesis” organized by Dept. of Geography

    • Programs Offered: UG

    • Statistics at General level : FY/ SYBSC
    • Year of Inception : 1982
    • B.Sc. (Statistics) : Specialization
    • Year of Specialization : 2018 – 19
    Sr.no Program PO’s PSO’s
    1 B.Sc.(Statistics) Demonstrate comprehensive knowledge and understanding of one or more disciplines which form a part of an undergraduate programme of study. To Understand the concepts of statistical theory with real life applications.
    2 Express thoughts and ideas effectively in writing and orally. To improve problem-solving and computational skills
    3 Evaluate practices, policies and theories by following scientific approach to knowledge development. To enhance self- learning and improve own performance.
    4 Apply one’s learning to real life situations. To get acquainted with the knowledge of software available for statistical analysis of data
    5 Draw valid conclusions and support them with evidence and examples. To improve the ability in applying the theory/ tools/techniques of statistics in project on real life data
    6 Plan, execute and report the results of an experiment or investigation.
    7 Work effectively and respectfully with diverse teams.
    8 Critically evaluate ideas, evidence and experiences from an open-minded and reasoned perspective.
    9 Work independently, identify appropriate resources required for a project, and manage a project through to completion.
    10 Effectively engage in a multicultural society and interact respectfully with diverse groups.
    11 Adopt objective, unbiased and truthful actions in all aspects of work.
    12 Have a capability for mapping out the tasks of a team or an organization.
    13 Acquire skills to learn how to learn.
    14 Develop social, cultural and national integrity.
    F.Y.B.Sc (Subject)
    Sem-I Sem-II
    Subjcet Code Subject Name Subjcet Code Subject Name
    ST 111 Descriptive statistics I ST 121 Descriptive statistics – II
    ST 112 Discrete Probability and probability distributions I ST 122 Discrete Probability and probability distributions – II
    ST 113 Statistics practical paper I ST 123 Statistics practical paper II
    S.Y.B.Sc (Subject)
    SEM-III SEM-IV
    Subjcet Code Subject Name Subjcet Code Subject Name
    ST-231 Discrete Probability Distributions And Time Series ST-241 Tests of Significance and Statistical Methods
    ST-232 (A) Continuous Probability Distributions ST-242 Sampling Distributions And Exact tests
    ST-233 Statistics Practical ST 243 Statistics Practical
    T.Y.B.Sc (Subject)
    SEM-V SEM-VI
    Subjcet Code Subject Name Subjcet Code Subject Name
    ST-351 Distribution Theory – I ST-361 Distribution Theory – II
    ST-352 Theory of estimation ST-362 Testing of Hypothesis
    ST-353 Design and Analysis of Experiments ST-363 Sampling Methods
    ST-354 Statistical Process and Product Control ST-364 Introduction to Survival Analysis
    ST-355 Operations Research – I ST 365 (A) OR ST 365 (B): Actuarial Statistics OR Operations Research – II
    ST-356 Introduction to Regression Analysis ST-366(B) Reliability Theory
    ST-357 Practical Paper – I ST-367 Practical Paper – IV
    ST-358 Practical Paper – II ST-368 Practical Paper – V
    ST-359 Practical Paper – III ST-369 Project
    ST 3510: SEC 1: Turbo C (Practical Course) ST 3610 SEC 3: Introduction to Python (Practical Course)
    ST 3511: SEC 2: Statistical Computing using R-software (Practical Course) ST 3611 SEC 4 : Data Analytics (Practical Course)
    Name of Programme : Bachelor of Science (B.Sc.)
    PO.No. Program Outcomes
    After successful completion of this program, a student will be able to
    PO-1 Demonstrate comprehensive knowledge and understanding of one or more disciplines which form a part of an undergraduate programme of study. Disciplinary knowledge
    PO-2 Express thoughts and ideas effectively in writing and orally. Communication Skills
    PO-3 Evaluate practices, policies and theories by following scientific approach to knowledge development. Critical thinking
    PO-4 Apply one’s learning to real life situations. Problem solving
    PO-5 Draw valid conclusions and support them with evidence and examples. Analytical reasoning
    PO-6 Plan, execute and report the results of an experiment or investigation. Research-related skills
    PO-7 Work effectively and respectfully with diverse teams. Cooperation/Team work
    PO-8 Critically evaluate ideas, evidence and experiences from an open-minded and reasoned perspective. Scientific reasoning
    PO-9 Work independently, identify appropriate resources required for a project, and manage a project through to completion. Self-directed learning
    PO-10 Effectively engage in a multicultural society and interact respectfully with diverse groups. Multicultural competence
    PO-11 Adopt objective, unbiased and truthful actions in all aspects of work. Moral and ethical awareness/reasoning
    PO-12 Have a capability for mapping out the tasks of a team or an organization. Leadership readiness/qualities
    PO-13 Acquire skills to learn how to learn. Lifelong learning
    PO-14 Develop social, cultural and national integrity. Reflective thinking

    PSOs : Program Specific Outcomes

    Name of Programme : Bachelor of Science (B.Sc.) (STATISTICS)
    Program Specific Outcomes
    PSO. No. After successful completion of this program, a student will be able to Graduate Attributes
    PSO-1 To Understand the concepts of statistical theory with real life applications. Basic Knowledge
    PSO-2 To improve problem-solving and computational skills Evaluation
    PSO-3 To enhance self- learning and improve own performance. Apply
    PSO-4 To get acquainted with the knowledge of software available for statistical analysis of data Analysis & Computational Skill
    PSO-5 To improve the ability in applying the theory/ tools/techniques of statistics in project on real life data Professional Skills

    Cos : Course Outcomes

    Name of Programme : Bachelor of Science (B.Sc.) (STATISTICS)
    Class Course title Outcome
    Sem – I FYBSc(Paper-I) ST 111:Descriptive Statistics CO1: Representation of data diagrammatically CO2: Compute various measures of central tendency, CO3: To understand the concept of dispersion, CO4: To identify data and method of collections CO5: To develop computational skill in Skewness and kurtosis. CO6: Analysis of data and to interpret the results.
    Sem – I FYBSc-(Paper-II) ST 112:Discrete Probabilityand probability distributions CO1: To Distinguish between random and nonrandom Experiments. CO2: To get knowledge of sample space & events CO3: find probabilities of events. CO4: To identify variable & random variable CO5: Obtain probability distribution of random variable in the given situation CO6: To identify the standard probability distribution
    Sem – I FYBSc-(Paper-III) ST 113:Practical CO1: Use various graphical and diagrammatic techniques and interpretation. CO2: Analyse data related to discrete and continuous variables and to interpret the results, CO3: Compute various measures of central tendency, dispersion, skewness and kurtosis. CO4: Interpret summary statistics of computer output. CO5: Summarize and analyze the data using computer. CO6: Analyzing, interpreting and writing project report on real life situation.
    Sem – II FYBSc(Paper-I) ST 121:Descriptive Statistics – II CO1 : To study bivariate data. CO2: To analyze the data using scatter diagram . CO3: To Compute the correlation coefficient for bivariate data and interpret it. CO4: To fit linear, quadratic and exponential curves to the bivariate data to investigate the relation between two variables. CO5: To study the concept of various index numbers and its construction
    Sem – I FYBSc-(Paper-II) ST 122:Discrete Probabilityand probability distributions CO1: To Understand Meaning of standard distribution CO2: To identify Applications of Poisson, Binomial distributions CO3: To remember Mathematical expectation of bivariate random variable Co4: Apply standard discrete probability distributions to different real situations. CO5: To compute mean & variance using mathematical expectation.
    Sem – I FYBSc-(Paper-III) ST 123: Practical CO1: To remember recurrence relation of probability. CO2: To Fit standard distributions CO3: To apply standard distributions for given real life situation CO4: To get knowledge of Ms-Excel CO5: To find various price & quantity index numbers
    SYBSC( Semester III)
    Sem – III SYBSC Paper – I ST 231: Discrete Probability Distribution & Time Series CO1: To Apply the discrete distributions in real life problem. CO2: To Understand the concept of time series with its components. CO3: To apply time series in forecasting CO4: To study various standard distribution CO5: To estimate parameters of the distribution
    SYBSc (Paper-II) ST - 232 : Continuous Probability Distribution – I CO1: To understand the meaning of continuous random variable .CO2: To identify the real life examples of continuous random variable CO3: To obtain pdf of a random variable CO4: Obtain summary statistics of a continuous random variable. CO5: To find probability of events related to continuous random variable. CO6: To Identify whether variables are independent. CO6: To Apply the concept in computing correlation and regression lines ,m.g.f. moments, probabilities for bivariate continuous random variable., nature of curve, properties of continuous probability distributions CO7: To Study uniform, exponential, normal, gamma distributions and relations between them
    SYBSc (Paper-III) ST – 233 :Practical CO1 : Real life applications of various discrete and continuous distributions. CO2: To learn various commands in R software . CO3: To Perform various operations on data in R- Software and MS- Excel. CO4: To apply descriptive statistical analysis using R- Software and MS- Excel. CO5: To Perform different large and small sample test using RSoftware and MS- Excel. CO6; Knowledge of model sampling
    SYBSC : ( Semester – IV)
    SYBSC Paper – I ST 241: Mathematical Methods & Testing of Hypothesis CO1: To Understand multiple linear regression models with applications. CO2: to get the evaluation of Partial and Multiple Correlations. CO3: To understand the null and alternative hypotheses and apply small, large sample tests in real life problems. CO4: To Understand the different ways of summarizing the Vital Statistics. CO5: To understand and Formulate M/M/1 queue and find its parameter also find the average waiting time in queue CO6: To Apply R software in analysis of data
    SYBSC Paper – II ST 242: Continuous Probability Distribution CO1:Derive probability distribution function of chi-square, t, F distribution CO2: Explains interrelation between the above distributions and their properties. CO3: Get familiar with statistical tests of hypothesis and are able to apply in real life situations in various fields CO4: To find the relation between distributions CO5: To find the distributions of conditional random variables
    SYBSC Paper – III ST – 243 Practical CO1: Real life applications of various discrete and continuous Distributions. CO2: Perform various operations on data in R- Software and MS- Excel. CO3: Do descriptive statistical analysis in R- Software and MS- Excel. CO4: Perform different large and small sample test using RSoftware and MS- Excel.
    SYBSC : TYBSC ( Semester – V )
    TYBSc(Paper-I) ST 351: Distribution Theory – I CO1: Prove students with a formal treatment of probability theory. CO2: Equip students with essential tools for statistical analyses at the graduate level. CO3: Foster understanding through real-world statistical applications. CO4: Understand techniques for quantifying these uncertainties
    TYBSc(Paper-II) ST 352: Theory of Estimation Co1: To understand the concept of inference and basics of estimate and estimator. CO2: To Understand meaning of Statistical Inference. CO3: To Know the methods of Estimation. CO4: To Study characteristics of good estimator. TYBSc CO5: To evaluate confidence interval.
    TYBSc(Paper-III) ST 353: Design and Analysis of Experiments CO1: Understand the concept of ANOVA and basic principles of DOE. CO2: To analyze mathematical model of various design CO3: Analyze the data using CRD, RBD, LSD and factorial experiments. CO4: Understand the concept of ANOCOVA with real life situations. CO5: Study the Application of confounding in real life problems
    TYBSc (Paper-IV) ST 354: Statistical Process and Product Control CO1: Understand online and offline process controls. CO2: To know basics of control charts for variable and attributes. CO3: Apply X-bar chart, R-chart, C-chart and P-chart in real life data. CO4: Apply the acceptance sampling plans in production process. CO5: Compute capability indices.
    TYBSc(Paper-V) ST 355: Operations Research – I CO1: Understand the need of operation research for effective decision making. CO2: To Formulate the dual LP Problem and understand the relation between primal and dual LP problems. CO3: Solve artificial variable technique, duality theory, revised simplex method, sensitivity analysis, transportation and assignment problems. CO4: Solve real life problems using integer programming.
    TYBSc (Paper-VI) ST 356: Regression Analysis CO1: Apply simple linear regression model to real life examples. CO2: Understand multiple linear regression models with applications CO3: Compute multiple and partial correlation and checking residual diagnostic to validate model. CO4: Apply Logistic models and its implementation in real life situation.
    TYBSc(Paper-VII) ST 357:Practical Paper – I CO1: To draw various charts, check the status of process and revising the limits to bring the process under control. CO2: To Study lot quality CO3: Find optimal solution using various techniques like LPP, TP, AP. CO4: Find optimum project completion path and probability of completion of project.
    TYBSc (Paper-VIII) ST 358:Practical Paper – II CO1: To Analyze data using various designs like RBD,LSD, CO2: To analyze Factorial 22 experiments CO3: To analyze factorial 23experiments CO4: Find efficiency of designs and its comparison. CO5: To analyze design using ANOCOVA
    TYBSc(Paper-IX) ST 359: Practical Paper – III CO1: To fit regression model CO2: Analyze the regression model using MS-Excel / R software CO3: To find estimates of dependent variable. CO4: Identify the data for regression analysis. CO5: Fitting of second degree curve.
    TYBSc (SEC-I) ST 3510: SEC 1: Turbo C (Practical Course) CO1: To study basic commands of Turbo C . CO2: Write short and long programs in C. CO3: Create recursive and non-recursive function in C. CO4: Perform simple, multiple and logistic regression analysis using C . CO5: To write the program on parametric and non-parametric test. CO6: To write program for calculation of area and summary statistics..
    TYBSc(SEC-II) ST 3511: SEC 2: Statistical Computing using R-software (Practical Course) CO1: Learn the basics of R with descriptive statistics (measures of central tendency and dispersion). Import, review, manipulate and summarize data-sets in R. CO2: Visualization of the data through different diagrams (simple, multiple and sub-divided bar diagram) and graphs (histogram, frequency polygon, stem and leaf plot, boxplot). CO3: Compute probabilities and fitting of probability distribution with R environment. CO4: Perform correlation, regression analysis and appropriate statistical tests for real life situations using R. CO5: Perform non-parametric tests for real life data sets
    TYBSC : ( Semester – VI )
    TYBSc (Paper-I) ST 361: Distribution Theory – II CO1: Prove students with a formal treatment of probability theory. CO2: Equip students with essential tools for statistical analyses at the graduate level. CO3: Foster understanding through real-world statistical applications. CO4: Understand techniques for quantifying these uncertainties CO5: To understand concept of order statistics.
    TYBSc(Paper-II) ST 362: Testing of Hypothesis CO1: To Study basics of parametric tests CO2: To understand MP test, UMP test, CO3: To calculate LR test, SPR test. CO4: Understand the difference between MP, UMP,LR,and SPR tests. CO5: Understand the difference between parametric and nonparametric tests. CO6: Study various non-parametric tests.
    TYBSc(Paper-III) ST 363: Sampling Theory CO1: Understand the basic principles of sample survey. CO2: Apply the different sampling methods for designing and selecting a sample from a population. CO3: Implement Ratio and Regression estimation in real life problems. CO4: To find the estimates of sample and population mean CO5: To understand the role of sample survey in Research.
    TYBSc(Paper-IV) ST 364: Introduction to Survival Analysis CO1: To understand the concept of survival analysis. CO2: To Understand the elements of reliability, hazard function and its applications. CO3: Understand the concept of censoring, life distributions and ageing classes. CO4: Estimate nonparametric survival function of the data. CO5: Explain test of exponentially against nonparametric classes, two sample problems.
    TYBSc(Paper-V) ST 365 (A): Actuarial al Statistics OR ST 365 (B): Operations Research – II CO1: To understand basics of actuarial statistics. CO2: To Understand the utility theory, insurance products and life tables. CO3: To Understand the concept of interest CO4: To Understand the concept of life insurance and the existing insurance products of different insurance company. CO5: Know life annuities, net premium.
    TYBSc(Paper-VI) ST – 366 A)Reliability Theory B)Clinical statistics C)Stochastic Process CO1: To Understand the elements of reliability, hazard function and its applications. CO2: To Understand the concept of censoring, life distributions and ageing classes. CO3: Estimate nonparametric survival function of the data. CO4: Explain test of exponentially against nonparametric classes, two sample problems. CO5: To study the meaning of series and parallel system.
    TYBSc(Paper-VII) ST 367: Practical Paper – IV CO1: Apply and fit continuous distribution to real life situations. CO2: Perform parametric and non-parametric tests. CO3: Perform sampling methods analysis. CO4: Calculate accumulated value, present value, effective rate of discount and benefit premiums. CO5: Construct life tables.
    TYBSc(Paper-VIII) ST 368: Practical Paper – V CO1: To Understand The Standard Distribution CO2: To Identify Real Life Situations Of Distribution CO3: Make Student Aware Of Model Sampling CO4: To Make Student Competent In Computation CO5: To Create Analytical Approach In Data Analysis
    TYBSc(Paper-IX) ST 369: Project CO1: To Develop Data Collection Habit Amonsgt Students CO2: To Make Students Aware Of Sampling Techniques CO3: To Understand The Concept Of Statistics CO4: To Provided Knowledge Of Real Life Situations of The Data CO5 : To Analyze The Data Using Statistical Tools CO6: To Provide Knowledge Of Statistical Software
    TYBSc(SEC-3 ) ST 3610: SEC 3: Introduction to Python (Practical Course) CO1: To Understand The Python CO2: To Get Knowledge Of Various Commands In Python CO3: To Analyze The Data Using Statistical Tools CO4: To Provide Knowledge Of Statistical Software CO5: To Evaluate The Problems
    TYBSc(SEC- 4) ST 3611: SEC 4: Data Analytics (Practical Course) CO1: To Understand The Concept Of Data Analytics CO2: To Get Knowledge Data Science CO3: To Develop Competency In Analysis CO4:: To Analyze The Data Using Statistical Tools CO5 : To Provide Knowledge Of Statistical Softwares CO6: : To Evaluate The Problems

    Standard Operating Procedure

    Introduction:

    This SOP aims to provide guidance to all stakeholders associated with the department. It helps in the proper functioning of the department in terms of Teaching, Learning and evaluation. It is also helpful in proper document maintenance and consistency.

    Purpose :

    The purpose of this SOP is to describe the processes involved in, and the people responsible for, all aspects of proper functioning of the department.

    Vision:

    To develop students’ skill in real life data collection and its analysis by using various statistical tools & statistical software.

    Responsibilities of HoD

    • Preparation of academic calendar of the dept. which will reflect the performance of the department
    • HoD has to prepare departmental time-table as well as individual time-table of the teachers
    • He has to allocate work load of the department
    • He has to conduct regular departmental meetings and maintaining the register of the minutes
    • He has to monitor the lectures and practical as per the scheduled time table
    • He has to observe the proper functioning and maintenance of the laboratory equipment
    • He has to provide proper guidance to his colleague regarding internal exams and timely submission of question papers, assignments, project guidance and their evaluation.
    • He has to display the marks of internal assessment on the notice board of the department / convey the same on WhatsApp groups.
    • He has to conduct the online / offline feedback from the students on teacher and curriculum in the prescribed format provided by the IQAC at the end each semester
    • He has to submit the feed - back analysis report to the IQAC and maintain its record in the department
    • He has to maintain the records of the alumni of the department
    • He has to maintain the records of the students’ progression to higher education
    • He has to conduct Stat Quiz Contest, in collaboration with dept. of statistics SPPU
    • He has to initiate some certificate /diploma / value added / add on courses for the students He should send the proposals for attending workshops /conferences, paper publication, research proposals, QIP with supporting documents and required financial support to the Principal through U.G.C. Coordinator /Academic Research Coordinator for necessary action.
    • He should guide and encourage the faculty members to publish their research
      • work in standard and reputed conferences or Journals. The list of journals is available on UGC portal.
    • He has to take follow up regarding absent students

    B] Teaching Faculty

    • The faculty has to prepare their own teaching plan as per the courses allotted
    • He has to maintain attendance record of each class
    • He has to inform students regarding project work at the beginning of the semester I
    • He is bound to guide students for projects, quiz competition etc.
    • He has to encourage students to take part in Stats Quiz
    • He has to maintain the discipline in the class during lecture and practical
    • He has to inform the HoD, in case of accidental leave
    • He has to solve the problems of students if anyv
    • He has to prepare attendants report students
    • He has to conduct lecture and practical as per the time table

    C] Lab Attendant

    • The Attendant has to maintain the cleanliness of the department.
    • He has to stay in the department during practical.
    • He has to make necessary arrangement of the equipment and material to the teacher / students
    • He has to keep computers clean from dust.

    D] Students

    • The students have to use departmental equipment properly
    • 100% attendance should be maintained in theory and practical
    • Without permission of the subject teacher need not handle the computers
    • Keep their bags aside at the time of practical
    • They have to shut down computers properly.
    • For any complaint or problems, he should report to the teacher/head
    • At the time of practical exam remain present before 30 minutes
    • Avoid disturbance during practical
    Standard Operating Procedure of Laboratory
    Department of Statistics
    Introduction:

    In Statistics the role of laboratory is very vital for easy analysis of data using statistical tools.
    It is an important asset of the department, which enables the students about the knowledge of software in statistics.
    For smooth functioning of teaching – learning process, the laboratory is well equipped with computers, internet facility, LCD projector, Scientific Calculators along with necessary furniture for practical purpose Availability of R – Software, Ms-Excel tools for analysis of data.

    Roles and Responsibilities of Lab Attendant

    • He has to maintain the cleanliness of the department on daily basis.
    • He has to stay in the department during practical.
    • He has to make necessary arrangement of the equipment and material to the teacher / students
    • He has to keep computers clean from dust on daily basis.
    • He has to make Xerox copies of practical sheets before start of the practical.
    • He has to maintain the record of calculators supplied to the students at the time of practical.
    Dos:
    • Handle calculators/ computers properly
    • 100% Attendance should be maintained during practical
    • Keep your bags aside at the time of practical
    • Shut down computers properly after completion of practical.
    • For any complain or problems report to the teacher/head
    • At the time of practical exam remain present before 30 minutes
    • Bring your own Compass box with necessary content
    • Listen the instructions carefully, then operate machines
    Don’ts:
    • Without permission of the subject teacher do not handle the computers
    • Do not disturb your colleague during practical
    • Do not use computer key board roughly
    • Do not bring eatables in the laboratory
    • Do not give pass word to computers

    Highlights:

    • Dr. M. T. Lomate (Retired May 2020) was member of Board of Studies (BoS) and faculty member of science faculty of Savitribai Phule Pune University (SPPU) Pune.
    • Prof. D. S. Attarde (Retired August 2021) was member of Board of Studies (BoS) of Savitribai Phule Pune University (SPPU) Pune.
    • Mr. Ansari Mohammed Saeed (Head, of the Department) has published several research papers in International & National Journals. He has delivered lectures on SOP, Data Analysis, Testing of Hypothesis, Data Collection various colleges.
    • Experienced faculty with significant research publications in international and national peer reviewed journals.
    • The department provides free of consultancy to the Research students/ Minority institutions in Malegaon
    • Offering Specialization in Statistics (TYBSC Non - Granted).
    • ICT-enabled teaching-learning.
    • Guidance in analysis of data using R- software ,C- programming , Python, data analytics.
    • Department provides great exposure to the students in data collection and analysis.
    • Organization of Quiz competitions
    • Conducting Remedial Coaching for SC/ST/ Minority students
    • Conducting Field Visits and Industrial visits.
    • Conducted society and Scientific surveys
    • Organization of Guest Lecture series, seminars /conferences for the students
    • Department has maintained 100% Result of Final year students.
    • The Department has MoU/Linkage with the Minority Institution ( JAT Senior College, Malegaon)

    Research Publications:

    Title of paper Name of the Author/s Name of the Journal Year of Publication ISBN/ISSN
    New Modified approach to find Initial Basic Feasible Solution (IBFS)To a transportation Problem using Statistical techniques Ansari S. I. Antartica Journal of Mathematics December 2012 ISSN 0972 – 8643 Impact factor- 4
    Integer Programming Problem With Progressive Series & Fibonacci Series Ansari S. I. & Dr. A. P. Bhadane Applied Science Periodical 2013 0972 – 5504
    Integer Programming Problem with progressive series & Fibonacci series using TORA package Ansari S. I Applied Science Periodical 2015 -16 ISBN-0972 – 5504 Siwan – Bihar
    New Modified approach to find Initial Basic Feasible Solution (IBFS)To a Transportation Problem Ansari S. I. Researchers World January 2015 ISSN – 2231- 4172 GIF – 0.479
    New Modified approach to find Initial Basic Feasible Solution (IBFS)To a transportation Problem Ansari S. I. & Dr. A. P. Bhadane (Book of Abstract) Arts, Commerce & Science College, Satana 2014
    Place of Core Values in Higher Education Ansari S. I. Conference Proceeding Surgana College January 2020 - 2021 ERM publication ISBN – 978-81 – 926414-5 -4
    Dyse from Plants : North East region from Nashik district, Maharashtra Ansari S. I & Dr. P. S. Patil International Journal of Advanced Research & Development 2021 – 22 ISSN: 2455-4030
    A Statistical Analysis on Population Growth and Food Security in India Ansari S. I. Dr. C. M. Nikam Worldwide International Interdisciplinary Research Journal 2021 – 22 ISSN : 2454 - 7905 SJIF Impact Factor : 7.479 Volume - I Issue - I , II
    Statistical Analysis on Demographic status of slum area & urban area of Malegaon Ansari S. I. International Conference MSG College 2016 Presented Paper 17th and 18th Feb 2016

    Attended Orientation & Refresher Course :

    Sr. No. Course Title Organizer Duration Dates
    1 Orientation Course A Statistical Analysis on Population Growth and Food Security in India Teaching Learning Centre, Ramanujan College University of Delhi 30 days 11/02/2021 to 13/03/2021
    2 Refresher Course Applications Of Statistical Techniques In Real World” Teaching Learning Centre, Ramanujan College University of Delhi 15 days 01/05/2021 To 15/05/2021
    3 Refresher Course Advanced Research Methodology Teaching Learning Centre, Ramanujan College University of Delhi 15 days 22/05/2022 To 05/06/2022

    Consultancy:

    Mr. Ansari S. I. has been providing the free of consultancy to Dr. P. M. Rahmany Girls’ Primary School Malegaon & ARM Primary School Malegaon ( Minority Institutions) as well as Ph.D. students regarding statistical analysis.

    Webinars/Seminars /conferences/ Workshops Attended:
    Sr. No. Level Title of the conference Organizer Year
    1 National Webinar “Intellectual Property Rights Management” K.B.H. Dental College & Hospital, Nasik and Arts, Science and Commerce College, Manmad August 2020
    2 National Webinar AQAR Guidelines and Submission Arts, Science and Commerce College, Manmad November 2020
    3 National Webinar “Quality Initiatives in Revised Accreditation Framework of NAAC & E-Content Development” Arts, Science and Commerce College, Manmad July 2020
    4 National Workshop Data Analytics using Python KYHM College, Nashik August 2021
    5 National Workshop Role of IQAC in Assessment and Accreditation Process PSGVP Mandal's SIP Arts, GBP Science and STKVS Commerce College, Shahada, Dist - Nandurbar May 2020
    6 National Webinar Biotechnological Aspects Environment Monitoring JAT Senior College,(For Women) Malegaon April 2021
    7 Seminar Standard Operating System (SOP City College, Malegaon March 2021
    8 Workshop E-content development Computer Science & Library , MSG College, Malegaon July 2021
    9 National Online FDP on Structural Equational Modeling using Smart PLS Software A.E. Kalsekar College of Commerce and Management Nallasopara west July 2020
    10 National AQAR, IIQA & SSR Preparation under Revised Assessment and Accreditation Framework along with challenges and Remedies in Higher Educational Institutions of Tribal Area” Arts, Science & Commerce College, Surgana January 2021

    Linkages & Collaborations/ MOU’s

    Organization with which MOU is signed Name of the institution/ industry/ corporate house Year of signing MOU Duration Purpose
    Jadeed Anjumane Taleem , Islampura Malegaon (Minority Institution) JAT Arts, Science & Commerce College( For Women) Malegaon –( Minority Institution) 2021 – 22 Five Years Projects/Field Visits

    Department Activities:

    • Every year the department conducts Stats Quiz for the students in order to develop their competitive skill
    • Every year the students are given projects on real life data and its analysis, to develop their research culture.
    • The department has organized Guest lecture in 2019 – 20, on the topic “C- Programming and Analysis of Covariance”. Dr. Kasture from New Arts College Nagar has delivered his talk.
    • The department has conducted Field Visit at Agricultural College Malegaon for TYBSC students, to observe the various methods of cultivation in their course Design of Experiments.
    • The department has organized various lectures on Guidance of “M. Sc. Entrance Exam”, Capability, Use of ICT in Statistics, personal counseling,
    • The department conducts Remedial Coaching for SC/ST/OBC and Minority students of FYBSC
    • The alumni of the department has supported non – financially by delivering lectures on the topics “Use of ICT, R – Software, Python, Data Analytics, etc. to the TYBSC students.
    • The department provides its services to the other departments / students / institution in analyzing the data

    Best Practice

    Name of the activity Organising unit/ agency/ collaborating agency Name of the scheme Year of the activity Number of students participated in such activities
    Tree plantation Dept. of statistics & College Swachha Bharat Abhiyan 2016 – 17 50 (FY/SYBSC)
    Field visit Dept. of Statistics and Agricultural College, Malegaon credit based activity 2021 – 22 15 (TYBSC – Statistics)
    Scientific Survey Dept. of Statistics and Science Departments of the college credit based activity 2022 – 23 21 (TYBSC- Statistics)
    Industrial Visit Power loom sector in Malegaon credit based activity 2022 – 23 21(TYBSC- Statistics)

    STRENGTHS

    • There is interdisciplinary approach of the subject, department provides services to the various departments of the college.
    • Department helps in analyzing data of research students
    • Faculty members inculcate research attitude as well as social awareness among students by giving issue-based projects
    • Motivates and prepares students for participating in Quiz competitions
    • Use of advanced statistical software in teaching and learning.
    • Students participate in field visits, data collection.
    • Being an interdisciplinary subject, department renders services to various departments.

      • Future Plan

    • To conduct workshop for data analysis using Statistical Software for students.
    • To form an active alumnus.
    • To start certificate / value added /add on courses To start remedial class for backlog students

    Results Summary TY BSc

    Year Toppers of the Class
    1st 2nd 3rd
    2019-20 75% 74% 73%
    2020-21 97.17% 91.75% 84%
    2021-22 84.18% 80.86% 79.73%
    2022-23 91.77% 86.18% 81.36%

    Sr. No. Name of Alumni Designation Government / Private Year of Passing
    1 Mr. Vivek Nandanwar Data Science Pune 2021 – 22
    2 Mankar Harshada Karbhari Assistant Teacher Private School 2021 – 22
    3 Miss Saraf Shruti RBI ( Internship) Government 2020 – 21
    4 Miss Patil Kaveri Finance Data Analysis Private Company - Pune 2020 – 21
    5 Miss Borse Nikita Software –IDFC BANK MUMBAI 2020 – 21
    6 Mr. Chetan Kannor Director Private Coaching Centre 2020 – 21
    7 Mr. Alane Kartik Market Research (Internship) Private Company Pune 2020 – 21
    8 Mr. Jadhav Bhagyesh RBI office Mumbai Government 2020 – 21
    9 Mr. Vaibhav Gawande Assistant Professor MGM College of Agriculture Aurangabad 2019 – 20
    10 Mr. Deore Prathmesh Data Analyst (Asst. Manager Bajaj finance pune 2019 – 20
    11 Miss Bachhav Harshada Assistant Professor Semi Govt. 2019 – 20
    12 Kale Prasad Bharat Private Tuition Class Private 2019 – 20
    13 Miss Shewale Gitangali Chandrabhan Assistant Teacher Private 2019 – 20
    14 Miss Sonawane Akshata Data Analysis Bengaluru 2019 – 20
    15 Miss Mrunal Ahire Lecture on Data Analysis - 21/10/2022
    16 Mr. Prasad Kale Training on R software & ICT - 10/11/2022
    17 Mr. Suyash Wagh lecture on M. Sc entrance Exam - 10/12/2022
    18 Mr. Vivek Nandanwar Career Counselling on Data Science - 13/02/2023

    Photo Gallery

    Contact Us

    Sr. No. Name Designation Email.id Mobile No.
    1 Ansari Mohammed Saeed Head, Assistant Professor ansari.saeed777@yahoo.com saeedansari1669@gmail.com 9975942678

    Best Practice

    Name of the activity Organising unit/ agency/ collaborating agency Year of the activity Number of students participated in such activities
    Stats Quiz PUSA, Dept. of Statistics , SPPU Pune 2017 – 18 FYBSC – 53 FYBCS – 70 SYBSC – 23
    Stats Quiz PUSA, Dept. of Statistics , SPPU Pune 2018 – 19 FYBSC – 56 SYBSC – 26
    Stats Quiz PUSA, Dept. of Statistics , SPPU Pune 2019 – 20 FYBSC – 33 SYBSC – 21
    Stats Quiz PUSA, Dept. of Statistics , SPPU Pune 2020 – 21 Covid affected
    Stats Quiz Dept. of Statistics and JAT Senior College, Malegaon 2021 – 22 FYBSC – 115

    Best Practices – 1

    Title : Analysis of Real Life Data Using Statistical Tools

    Context: The department has been running the course in statistics since 1985. The theoretical knowledge has been imparted with great zeal &zest but the subject like statistics also demands real life situations to implement the theoretical and practical knowledge of the subject. The syllabus is lagging behind to suffice the purpose, therefore, the department planned to put forward the real life situations before the learners to sharpen their skill of analysis in these true- to- life conditions

    The Practice : The students of B.Sc. statistics are advised during the commencement of the course about project work and how to collect the data by using statistical techniques and how data can be analyzed. Throughout the year the students are guided about the real life data and they are given necessary suggestions. A group of 5 to 6 students is involved in one project/ single student can prepare a project.

    Evidence of Success: Every year the students collect real life data and analyze it and then project reports are prepared .The following table shows the number of projects and number of students involved in this activity.

    Sr.No. Year FYBSC SYBSC TYBSC
    No. of Projects No. of Students No. of Projects No. of Students No. of Projects No. of Students
    1 2014 – 15 3 3 5 22 NA NA
    2 2015 – 16 6 21 2 10 NA NA
    3 2016 – 17 3 11 3 11 NA NA
    4 2017 – 18 9 39 4 12 NA NA
    5 2018 – 19 11 48 6 28 NA NA
    6 2019 – 20 7 42 04 25 3* 13
    7 2020 – 21 Inability to conduct due to Covid– 19 05 20
    8 2021 – 22 5 15
    9 2022 – 23 4 10 -- -- 6 21

    Specialization in statistics started during the year 2019-20

    Problems Encountered: In some situations it is not possible to collect the data where real income is expected for the construction of cost of living index number.

    Best Practice – 2

    Title : Analysis of Real Life Data Using Statistical Tools

    Context:The teaching learning process in formal education will never be completed unless & until ‘Assessment’. The learners can be assessed in various ways . Assessing learners with the help of Quiz is one of the ways. The exigency of quiz is due not only to pass the college exams but it will also help sharpen the ability to pass NET/SET or other competitive exams. The department has gauged all these possibilities to commence the Statistical Quiz.

    The Practice :The practice is being announced by the Statistics Dept. of SPPU in the month of December, which specifies the date and time to conduct the practice. At the beginning of the program the students are given instructions & guidance to participate in Quiz. For the FYBSC the toppers are given cash prize of Rs 100/- by the department, while the Quiz of SYBSC and TYBSC are based on Two rounds. At the end of first round top three students from the college centre are selected to participate in round second, then the winners are selected on the basis of their performances in second round.

    Evidence of Success:As the dept. of statistics of our college took part in this Quiz since Academic Year 2014 – 15. During last five years this activity is successfully conducted by the department. The following table gives success of the activity

    Sr. No. Year FYBSC SYBSC
    1 2014 – 15 72 26
    2 2015 – 16 65 28
    3 2016 – 17 35 25
    4 2017 – 18 53 23
    5 2018 – 19 56 26
    6 2019 – 20 35 21
    7 2020 – 21 Due to pandemic
    8 2021 – 22 115 --
    9 2022 – 23 49 29

    Problems Encountered :The only problem which the department faces every year is the availability of ladies staff in the department to take the female participant students outside college for the second round