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        Statistics for Management 
    
    
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       Course Name 
						       MBA (Master of Business Administration)
                            
                            
						Subject Code       MB0024  (Statistics for Management )
                            
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                              PART - A 
                               PART - B 
                               PART - C 
                            
        
        Statistics for Management  Syllabus. 
        
						
Part 1: Introduction to Statistics
Introduction, Collection, Classification and Presentation of Data, Measures 
of Central Tendency, Measures of Dispersion
Part 2: Probability
Introduction, Basic terminology used in Probability, Mutually Exclusive 
Events, Types of Probability, Relative Frequency of Occurrence, Subjective 
Probabilities, Probability Rules, Probabilities under Conditions of Statistical 
Independence, Probabilities under Conditions of Statistical Dependence, Baye’s 
theorem 
Part 3: Probability Distributions
Introduction, Bernoulli Distribution, The Poisson Distribution, The Normal 
Probability Distribution–Continuous probability distribution 
Part 4: Sampling and Sampling Distributions 
Introduction, Types of Sampling, Random Sampling or Probability Sampling, 
Sampling Distributions, The Relationship between Sample size and standard error
Part 5: Estimation
Introduction, Point Estimates, Interval Estimates: Basic Concepts, Interval 
Estimates and Confidence Intervals, Calculating Interval Estimates of the Mean 
from Large Samples, Calculating Interval Estimates of the Proportion from Large 
Samples, Interval Estimates Using the student’s t Distribution, Determining the 
Sample size in Estimation 
Part 6: Testing of Hypothesis
Concepts Basic to the Hypothesis, Testing Procedure Testing Hypotheses, 
Hypothesis Testing of Means when σ is known, Hypothesis Testing of Proportions: 
Large Samples, Hypothesis Testing of Means when σ is not known
Part 7: Chi – Square and ANOVA
Introduction, Chi – square χ2 as a test of independence, Analysis of 
Variance (ANOVA) 
Part 8: Simple Correlation & Regression
Introduction, Correlation, Regression 
Part 9: Business Forecasting & Time Series
Introduction, Business Forecasting, Time Series 
Part 10: Index Numbers
Introduction, Index Number – Definition, Types of Index Numbers, Limitations 
of Index Numbers, Utility and Importance of Index Numbers
    
    
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