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Statistics for management (Code: DBA 7102)

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Statistics for management Statistics for management

 

 

Statistics for management SOLVED PAPERS AND GUESS 

 

Product Details: IGNOU Statistics for management SOLVED PAPERS AND GUESS

Format: BOOK

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2015-16

 

 RATING OF BOOK: EXCELLENT

 


ABOUT THE BOOK

FROM THE PUBLISHER

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

 

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DBA 7102  Statistics for management

UNIT I  PROBABILITY -  Basic definitions and rules for probability, conditional probability,
independent of events, Baye’s  Theorem, random variables, Probability distributions:
Binomial, Poisson, Uniform and Normal Distributions.
UNIT II  SAMPLING DISTRIBUTION AND ESTIMATION  -  Introduction to sampling
distributions,  sampling techniques, sampling distribution of mean and proportion,
application of central limit theorem. Estimation: Point and Interval estimates for
population parameters of large sample and small samples, determining the sample size.
UNIT III  TESTING OF HYPOTHESIS -  Hypothesis testing: one sample and two samples tests
for means and proportions of large samples (z-test), one sample and two sample tests for
means of small samples (t-test), F-test for two sample standard deviations.
UNIT IV  NON-PARAMETRIC METHODS -  Sign test for paired data. Rank sum test: Mann  –
Whitney U test and Kruskal Wallis test. One sample run test, Rank correlation. Chi-square tests for independence of attributes and goodness of fit.
UNIT V   CORRELATION, REGRESSION AND TIME SERIES ANALYSIS  -  Correlation
analysis, estimation of regression line. Time series analysis: Variations in time series,
trend analysis, cyclical variations, seasonal variations and irregular variations.

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