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STATISTICAL APPLICATIONS IN BUSINESS (Code: M.COP-103 book)

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STATISTICAL APPLICATIONS IN BUSINESS
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STATISTICAL APPLICATIONS IN BUSINESS STATISTICAL APPLICATIONS IN BUSINESS
 

M.COP-103 SOLVED PAPERS AND GUESS 

 

Product Details:          PTU University  M.COP-103 SOLVED PAPERS AND GUESS

Format:                        BOOK

Pub. Date:                    NEW EDITION APPLICABLE FOR Current EXAM

Publisher:                   MEHTA SOLUTIONS

Edition Description2015-16

 

RATING OF BOOK:      EXCELLENT



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  If you find yourself getting fed up and frustrated with other ptu book solutions now mehta solutions brings top solutions for ignou. this M.COP-103 contains previous year important solved papers plus faculty important questions and answers specially for ptu.questions and answers are specially design specially for ptu students .

 

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M.COP-103 STATISTICAL APPLICATIONS IN BUSINESS

UNIT-I

Construction of frequency distributions and their analysis in the form of measures of central tendency and variations, types of measures, Skewness – meaning and co-efficient of Skewness. Kurtosis. Index Numbers: Definition and Methods of Construction of Index Numbers; Tests of consistency, Base shifting, splicing and Deflation; Problems in construction, importance of index numbers in Managerial decision-making.

UNIT-II

Correlation analysis – meaning and types of correlation, Karl Pearson’s coefficient of correlation and Spearman’s rank correlation, regression analysis – meaning and two lines of regression, relationship between correlation and regression co-efficient, time series analysis –measurement of trend seasonal variations, time series and forecasting.

UNIT-III

Probability – basic concepts and approaches, addition, multiplication and Bayes’ theorem, probability distribution – meaning, types of applications, binomial, Poisson and normal distributions.

UNIT-IV

Statistical inference: Concept of sampling distribution, parameter and statistics, standard error. Theory of estimation: Point and interval estimation, construction and confidence limits for mean.Tests of significance – parametric versus non-parametric tests, hypothesis testing, large samples, small samples – Chi-square test, z-test, t-test, binomial test, analysis of variance. Independence of Attributes, Goodness of Fit and Test of Homogeneity

 

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