Business Statistics Syllabus

Unit I Introduction                                                                                                  

Basic concepts of statistics, Terminologies associated with statistics such as populations and samples, Variables (Dependent and independent only) , Types and sources of data , Descriptive and inferential statistics,  Data processing (editing and coding), Applications of statistics in business and management.

Unit II Describing Data: Graphs and Tables                                                        

Data array, Stem and leaf Display, Frequency tables, Histograms, Polygon, Cumulative Polygon, Scatter plots, Simple Bar and Pie charts, Cross tabulation

Unit III Describing Data: Summary Measures                                                  

Central Location:  Mean, Median and Mode

Non Central Location: Quartiles, Deciles and Percentiles

Dispersion: Range, Interquartile range, Variance,   Standard deviation, Coefficient of variation, Index for qualitative variation (IQV)

Shape: Crude measure (comparison of mean, median, and mode), Five number summary, Box plot

Inequality Measure: Gini concentration ratio

Unit III Describing Data: Summary Measures                                                  

Basic concepts, Counting rule, Objective and subjective probability, Marginal and joint probability, Addition rule, Conditional probability, Multiplication rules.

Unit III Describing Data: Summary Measures                                                  

Discrete probability distribution (Binomial and Poisson distribution and mean and standard deviation of their distributions), Continuous probability distribution: Normal distribution, Normal approximation of Binomial and Poisson distribution

Unit III Describing Data: Summary Measures                                                  

Concept of estimation, Confidence intervals, confidence intervals for means and proportions ( one sample case only ), Test of significance, p-value approach to hypothesis testing, connection between confidence intervals and hypothesis testing, comparing two means (two sample z and t- test procedures), and comparing two proportions.

Reference Books


Basic Books

  1. Davis, G., & Pecar, B. Business Statistics using Excel. New Delhi: Oxford University Press
  2. Berenson, M. L. & David M. L.  Basic Business Statistics: Concepts and Applications.  Upper Saddle River, New Jersey: Pearson Prentice Hall of USA.

References

  1. Levin, R. I., & David S. R. Statistics for Management.  New Delhi: Prentice Hall of India
  2. Allbright, S. C., Winston, W., & Zappe, C. J.  Data Analysis and Decision Making with Microsoft Excel.  Pacific Grove: Duxubury Press.
  3. Argyrous, G.  Statistics for Research with a Guide to SPSS . New Delhi: Sage South India Edition
  4. Whigham, D. Business Data Analysis using Excel. New Delhi: Oxford University Press

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