Coming soon
Statistics for Business Decisions
This paper will give the knowledge to the students for the practical implementation of various statistical tools and techniques used in research, using SPSS.
Parametric vs. Non parametric, Logic, Confidence Intervals, Power of the test, Normal Curve, Normality Test, Homogeneity of variance, Bootstrapping
Pearson Correlation, Spearman Correlation, Kendall Tau B, Scatter Plots, Partial correlation, Linear Regression, Logistic Regression
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
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
Factor Analysis, Cluster Analysis, Reliability Analysis, Cronbach Alpha
- 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 HashemianRahaghi, 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.
