Mehta Solutions Statistics for management Statistics for management SOLVED PAPERS AND GUESS .. Product #: dba7102 Regular price: Rs340 Rs340

Management Concepts

Product Code: dba7102
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Statistics for management SOLVED PAPERS AND GUESS 

 

Product Details: anna university Statistics for management SOLVED PAPERS AND GUESS 

FormatBOOK 

Pub. DateNEW EDITION APPLICABLE FOR Current EXAM

PublisherMEHTA SOLUTIONS

Edition Description2018-19

RATING OF BOOK: EXCELLENT

  

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  If you find yourself getting fed up and frustrated with other anna university book solutions now mehta solutions brings top solutions for anna university 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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