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MBA1006 Quantitative Techniques (Code: MBA 1006 BOOK)

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MBA1006 Quantitative Techniques MBA1006 Quantitative Techniques MBA1006 Quantitative Techniques
 

GLA UNIVERSITY  MBA1006 Quantitative Techniques SOLVED PAPERS AND GUESS 

 

Product Details: MBA1006 Quantitative Techniques SOLVED PAPERS AND GUESS

Format: BOOK

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2017

 

        RATING OF BOOK: EXCELLENT

GLA UNIVERSITY  MBA1006 Quantitative Techniques


ABOUT THE BOOK

FROM THE PUBLISHER

  If you find yourself getting fed up and frustrated with other ignou book solutions now mehta solutions brings top solutions for ignou. this MBA 1006 book contains previous year solved papers plus faculty important questions and answers specially for ignou .questions and answers are specially design specially for gla students .

 

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Introduction
Introduction of statistics, types of statistical methods, importance
,scope and limitations ,Data classification, tabulation and
representation

(4Sessions)

UNIT –II

Measures of Central Tendency: Arithmetic Mean, Geometric
Mean, Harmonic Mean and Weighted Average, Median and
Mode
Measures of Dispersion: Range, Average Deviations, Standard
Deviation, Combined Standard Deviation and the Coefficient of
Variation

(4 Sessions)

UNIT – III

Skewness , Moments and Kurtosis : Introduction, measures
and applications
Correlation and Regression: Introduction, Correlation Analysis
– Coefficient of Correlation, Regression, Estimation using,
egression lines, Multiple Regression and Partial and Multiple
Correlation (overview)

(7 Sessions)

 

 

UNIT – IV

Probability: Basic concept, Three Types of Approaches to
Probability, Addition and Multiplication Theorems, Conditional
Probability and Baye's theorem.

(5 Sessions)

UNIT – V

Probability Distribution: Binomial Distribution, Poisson
Distribution and Normal Distribution, their Characteristics and
Applications in Business Management

(5 Sessions)

UNIT – VI

Estimation and Confidence Interval: Introduction, point
estimation, confidence interval estimation, estimating sample
size
Introduction of SPSS and Practical Applications of Excel

 



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