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Swayam Central

Statistics for Business Economics

By Dr. Manharlala N. Patel   |   Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India.
The present course has been specially designed for the students studying in the subject of Business Economy at CBCS undergraduate level. The course will cover the essential aspects of statistics useful in Business economics viz: correlation and regression, probability and distributions, sampling and testing of hypothesis, and index numbers. The course will mainly emphasize the different statistical methods. By studying this course students will taught how the problem of business economics can be handled using the methods of statistics. Many economic problems required use of statistical distributions and testing of hypothesis of the parameters involved to solve them. The course will emphasize especially the modern techniques along with their significance in the area of business economics.
Objective of Course 
The structure of the present course on statistics for business economics has been designed with the perspective of achieving following major objectives: • To provide a glimpse of descriptive measures to the students. • To impart knowledge regarding the development of linear relationship between the two correlated variables to the students. • To develop detailed understanding of discrete and continuous distributions. • To adequate the students with concepts of sampling theory and how to draw sample from the given population to estimate the parameters of the population. • To give adequate information to the students regarding the testing of hypothesis such that how various types of tests can be utilized under different situations? • To make the students aware about the various types of index numbers and their constructions. 

Learners enrolled: 1614

SUMMARY

Course Status : Ongoing
Course Type : Core
Duration : 8 weeks
Start Date : 20 Jan 2020
End Date : 15 Mar 2020
Exam Date : 10 May 2020
Enrollment Ends : 08 Mar 2020
Category :
  • Management Studies
  • Level : Undergraduate

    COURSE LAYOUT

    Unit– 1:
    Introduction to Descriptive Sample Measure
    Lecture 1:Data Type and Scale Sample & Population
    Lecture 2:Measures of Central Tendency and Dispersion
    Lecture 3: Moments, Skewness & Kurtosis
    Lecture 4: Correlation
    Lecture 5:Regression
    Unit – 2: 
    Probability andProbability Distribution

    Lecture 6:Probability
    Lecture 7:Probability and Distribution
    Lecture8:Continuous Distribution
    Unit – 3:
    Sampling and Hypothesis Testing

    Lecture 9: Point & Interval Estimation
    Lecture 10:Sampling Methods
    Lecture 11: Hypothesis-Large Sample Test & Chi-square Test
    Lecture 12:Hypothesis-Small Sample Test, T-test & F-Test
    Unit – 4:
    Index Number
    Lecture 13:Index Number Part-I
    Lecture 14:Index Number Part-II
    Lecture 15:Sample & Survey
    Lecture 16: Sampling
    Lecture 17: Introduction to Linear Programming and Problem Solving
    Lecture 18: Linear Programming Problem formulation & Interpretation (PART-1)
    Lecture 19: Linear Programming Problem formulation & Interpretation (PART-2)
    Lecture 20: Use of Excel Solver Linear Programming


    BOOKS AND REFERENCES

    INSTRUCTOR BIO

    Dr. Manharlala N. Patel

    Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India.
    Dr. Manharlal N. Patel is the Professor in Department of Statistics, University School of Sciences, Gujarat University, Ahmedabad, India. He has 36 years of teaching and 30 years of research experience. His areas of expertise include Statistical Inference, Life testing and reliability, Distribution theory, Statistical Quality Control, Econometrics. He has 75 research publications in national and international peer-reviewed refereed journals to his credit as well as presented the research work in national and international conferences. He has successfully guided 5 Ph.D. and 45 M. Phil. Students. He has worked as ‘Subject Co-ordinator’ and ‘Subject Expert’ in the educational programmes produced by EMMRC as a part of UGC-CEC NME project. He was also assigned as ‘Principle Investigator’ for MOOCs ofquantitative techniques for management in the subject of Business Economics. He has also worked as in-charge director of K. S. School of Business Management of Gujarat University.

    COURSE CERTIFICATE

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