Data Analysis in Management with SPSS Software

Chapter 1: Data Management.- Chapter 2: Descriptive Analysis.- Chapter 3: Chi-Square test and its Application.- Chapter 4: Correlation Matrix and Partial Correlation - Explaining Relationships.- Chapter 5: Regression Analysis and Multiple Correlations - For Estimating a Measurable Phenomenon.- Chapter 6: Hypothesis testing for decision making.- Chapter 7: One Way ANOVA - For testing the variability among group Means.- Chapter 8: Two Way Analysis of Variance - For Understanding the Causes of Variations.- Chapter 9: Analysis of Covariance- To study the role of covariate in Experimental Research.- Chapter 10: Cluster Analysis- For segmenting the population.- Chapter 11: Application of Factor Analysis - To study the Factor Structure among Variables.- Chapter 12: Application of Discriminant Analysis - For developing a classification model.- Chapter 13: Logistic Regression - Developing a model for Risk Analysis.- Chapter 14: Multidimensional Scaling for product positioning.