JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

17MBA04: BUSINESS STATISTICS

MBA I Semester (R17)

Course Objective

To understand the basic statistical tools for analysis & interpretation of qualitative

& quantitative data.

Course Outcomes

Students will be able to understand a) Conceptual overview of Statistics b) To

apply, analyze various simple & advanced statistical tools c) To interpret data through statistical tools.

UNIT - I

Introduction to Statistics – Functions of Statistics and Managerial Applications of Statistics, Relationship with other subjects.Measures of central Tendency- Mean, Median, Mode, Geometric Mean and Harmonic Mean.

UNIT - II

Measures ofDispersion - Range, Quartile deviation, Mean Deviation, Standard deviation and co- efficient of variation. Skewness : Karl Pearson’s co-efficient of skewness, Bowley’s co-efficient of skewness, Kelleys co-efficient of skewness, Kurtosis.

UNIT - III

  • a) Tabulation of Univariate, Bivariate and multivariate data, Data classification and tabulation, Diagrammatic and graphical representation of data. One dimensional, Two dimensional and three dimensional diagrams and graphs
  • b) Small Sample Tests- t-Distribution-properties and applications, testing for one and two means, paired t-test.

UNIT - IV

  • a) Analysis of Variance -One Way and Two Way ANOVA (with and without Interaction). Chi-Square distribution: Test for a specified Population variance, Test for Goodness of fit, Test for Independence of Attributes.
  • b) Correlation Analysis-Scatter diagram, Positive and Negative correlation, limits for coefficient of Correlation, Karl Pearson’s coefficient of correlation, Spearman’s Rank correlation, concept of Multiple and partial Correlation, Regression Analysis-Concept, least square fit of a linear regression, two lines of regression, Properties of regression coefficients.

UNIT - V

Time Series Analysis-Components, Models of Time Series–Additive, Multiplicative and Mixed models; Trend analysis-Free hand curve, Semi averages, moving averages, Least Square methods and Index numbers – introduction ,Characteristics and uses of index numbers, types of index numbers, unweighted price indexes, weighted price indexes, Tests of adequacy and consumer price indexes.

TEXTBOOKS:

  • 1. P.C. Tulsian, Bharat Jhunjhnuwala, Business Statistics, S. Chand, 2016.
  • 2. Levin R.I., Rubin S. David, Statistics for Management, 7e Pearson, 2015.
  • 3. Anderson, Sweeney, Williams, Camm, Cochran, Statistics for Business Economics, Cengage 12e, 2014.
  • 4. J. K Sharma, Business Statistics, 4e, Vikas Publishing House, 2015.
  • 5. Beri, Business Statistics, 1e, Tata McGraw Hill, 2015.
  • 6. Gupta S.C., Fundamentals of Statistics, 6e, Himalaya Publishing House, 2015.

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