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