Statistics for Business Decisions Practical

Paper Code: 
CBBA 402
Credits: 
2
Contact Hours: 
30.00
Max. Marks: 
100.00
6.00
Unit I: 
Statistical Testing

Parametric vs. Non parametric, Logic, Confidence Intervals, Power of the test, Normal Curve, Normality Test, Homogeneity of variance, Bootstrapping

6.00
Unit II: 
Linear Correlation and Regression

Pearson Correlation, Spearman Correlation, Kendall Tau B, Scatter Plots, Partial correlation, Linear Regression, Logistic Regression

6.00
Unit III: 
t- Test & AVOVA

t-test: One Sample, Independent Sample, Paired t test
Analysis of variance: General linear Model, Key Terms, Uni-variate, Multivariate, Repeated Measures, Contrasts, Multiple pairwise comparisons, Main effects, conditional means

6.00
Unit IV: 
Non Parametric Tests

Non Parametric Tests: Mann Whitney U test, Wilcoxon Signed ranks test, Kruskal Wallis Test, Friedman Test
Chi square Test: Test of Independence, 2x2 Cross tabulation, Layered cross tab, Goodness of fit

6.00
Unit V: 
Advanced Analysis

Factor Analysis, Cluster Analysis, Reliability Analysis, Cronbach Alpha

Essential Readings: 

1. James B Cunningham (2011), Using SPSS: An interactive hands- on Approach, Peacock publisher, 3rd Edition.
2. Mervyn(2015), SAS Data Analysis, Springer (SIE) Publishing House.
3. Venkat Reddy Konasani and Shailendra Kadre (2015), Practical Business Analytics Using SAS: A Hands-on Guide, Dreamtech Press.
4. A. Rajathi & P. Chandran (2012), SPSS for You, mjp publishers.

References: 

1. Seyed Reza Hashemian Rahaghi, Farnaz Abed Ashtiani (2011), Basic of Statistics & SPSS, create space independent publishing platform.
2. Robert H. Carver (2013), Doing Data Analysis with SPSS version 18.0, Cengage publishers, 5th edition.
3. S. Ajai Gaur (2009), Statistical methods for practice & research: A guide to Data Analysis using SPSS, Sage Publishers, 2nd edition.

Academic Year: 
2018-2019
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