Course : Business Statistics
Course Code : BMKT 31223
Credit Value : 3
Status : Compulsory
Level : Level 3
Semester : Semester I
Overall Learning Outcomes : At the end of the course unit students should be able to;
 recommend appropriate statistical tools and techniques that can be used for decision making for a given business context
 propose univariate, bivariate and multivariate statistical tools appropriately to analyze data to assist decision making in a given business context
 calculate probabilities in assessing the uncertainty of a given context
 justify the selection of tools available for forecasting in business decision making
 build an awareness of the importance and availability of various statistical tools to assist decision making in organizations
 produce statistical inferences and estimations for a given business context
 calculate probabilities by identifying the relevant probability distribution for a given scenario
 select appropriate quantitative data analysis techniques in decision making
 internalize the practice of statistical decision making
Course Content :
Topic No 
Topic 
Learning Outcomes 
Teaching and Learning Method 
Method of Assessment 
1 
Introduction to business statistics and data 
At the end of the session students should be able to;

Lectures Group assignment 
Group Assignment Report Mid/End Semester Examination 
2 
Descriptive statistics to describe data 
At the end of the session students should be able to;

Lectures Group assignment 
Group Assignment Report Mid/End Semester Examination 
3 
Bivariate Analysis 
At the end of the session students should be able to;

Lectures Tutorials 
Mid/End Semester Examination 
4 
Basic Probability Concepts in decision making 
At the end of the session students should be able to;

Lectures Class room discussions Tutorials 
Mid/End Semester Examination 
5 
Probability Distributions 
At the end of the session students should be able to;

Lectures Tutorials 
Mid/End Semester Examination 
6 
Sampling Distributions 
At the end of the session students should be able to;

Lectures Case study based class room discussions 
Mid/End Semester Examination 
7 
Statistical Inferences and Estimations 
At the end of the session students should be able to;

Lectures Case study based class room discussions 
Mid/End Semester Examination 
8 
Multivariate Analysis 
At the end of the session students should be able to;

Lectures Case study based class room discussions 
Class room presentation Mid/End Semester Examination 
9 
Forecasting, Time Series and Random Numbers 
At the end of the session students should be able to;

Lectures Case study based class room discussions 
Class room presentation Mid/End Semester Examination 
Recommended Reading :
 Levine, D.M, Krehbiel, T.C., and Berenson, M.L, (2012), “Business Statistics: A First Course”, 3^{rd} edition, Pearson Education.
 Chandan, J.S, (2009), “Statistics for Business and Economics”, 2^{nd} edition, Vikas Publishing House.
 Srivastava, S, Srivastava, S.C., and Pradhan, N.C., (2006), “Fundamentals of Statistics”, 1^{st} edition, Anmol Publications.
 Levin, R.I. and Rubin, D.S., (2008),” Statistics for Managers”, 7^{th} edition, , Prentice Hall.
 Gupta, S.C and Gupta, I., (2005), “Business Statistics”, 5^{th} edition, Himalaya Publishing House.