Please note: All products sold on mbaonlinepapers.com  are brand new and 100% genuine

•  Case studies solved 
•  New addition fully solved
  

  PH: 09871409765 , 09899296811 FOR ANY problem or for any demo

MBA-104 Quantitative Techniques

Objective: The objective of this paper is to acquaint the students with various statistical tools and techniques used to business decision making. . The course aims at providing fundamental knowledge and exposure to the students to use various statistical methods in order to understand, analyze and interpret data for decision making.

Unit-I  

Introduction to statistics: meaning, scope, importance and limitations, applications of inferential statistics in managerial decision-making. Analysis of data: source of data,

collection, classification, tabulation, depiction of data. Measures of Central tendency: Arithmetic, weighted, geometric mean, median and mode. Measures of Dispersion: Range, Quartile deviation, Mean deviation, Standard deviation Coefficient of variation, Skewness and Kurtosis.

Unit-II

Sampling and Sampling Distribution: Concept and definitions, census and sampling, probability samples and non-probability samples, relationship between sample size and

errors, simple numerical only.   Hypothesis Testing: Sampling theory; Formulation of Hypotheses; Application of Z-test, t-test, F-test and Chi-Square test, techniques of association of attributes & testing. Test of significance for small sample

Unit-III

Correlation Analysis: Significance, types, Methods of correlation analysis: Scatter diagrams, Graphic method, Karl Pearson‟s correlation co-efficient, Rank correlation coefficient, Properties of Correlation. Regression analysis: meaning, application of regression analysis, difference between correlation & regression analysis, regression equations, standard error and Regression coefficients. Index Number: Definition, and methods of construction, tests of consistency, base shifting, splicing and deflation, problems in construction and importance of index number.

Unit-IV

Time Series Analysis: Meaning, Components and various methods of time series analysis

Trend analysis: Least Square method - Linear and Non- Linear equations, Applications in business decision-making. Theory of Probability: Definition, basic concepts, events and experiments, random variables, expected value, types of probability, classical approach, relative frequency and subjective approach to probability, theorems of probability, addition, Multiplication and Bays Theorem and its application. Theoretical Distributions: Difference between frequency and probability distributions, Binomial, Poisson and normal distribution