Statistics for Business Decisions Practical

Paper Code: 
CBBA 402
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to -

  1. To apply concepts of Probability distributions in Decision making in a simulated environment
  2. To apply hypothesis tests on data in MS Excel/ SPSS for comparing means & utilize them for decision making.

Course Outcomes (COs):

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Paper Code

Paper Title

CBBA 402

Statistics for Business Decisions Practical

CO139: Analyze and interpret correlation and regression using software.

CO140: Analyze and interpret parametric hypothesis tests like t test, ANOVA using software.

CO141: Analyze and interpret non parametric hypothesis tests like chi square using software.

Approach in teaching:

Interactive Hours, Discussion, Tutorials, Reading assignments

 

Learning activities for the students:

Self learning assignments, Effective questions, Giving tasks

 

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 

6.00
Unit I: 
Correlation Analysis:

Correlation Analysis: Calculation of various types of correlation using statistical softwares like SPSS, Excel, etc.

6.00
Unit II: 
Regression Analysis:

Regression Analysis: Linear regression using statistical softwares like SPSS, Excel, etc.

6.00
Unit III: 
t-test:

t-test: One Sample, Independent Sample, Paired t test using statistical softwares like SPSS, Excel

6.00
Unit IV: 
Analysis of variance:

Analysis of variance: One way ANOVA and Two way ANOVA using statistical softwares like SPSS, Excel

6.00
Unit V: 
Chi square Test

Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit using statistical softwares like SPSS, Excel

Essential Readings: 

• James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.
• Mervyn(2015), SAS Data Analysis, Springer (SIE) Publishing House.
• Venkat Reddy Konasani and Shailendra Kadre (2015), Practical Business Analytics Using SAS: A Hands-on Guide, Dreamtech Press.
• A. Rajathi & P. Chandran (2012), SPSS for You, mjp publishers.
• Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani (2011), Basic of Statistics & SPSS, create space independent publishing platform.
• Robert H. Carver (2013), Doing Data Analysis with SPSS version 18.0, Cengage publishers, 5th edition.
• S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers, 2nd edition.

Academic Year: 
2021-2022
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