Statistical Software Lab Syllabus MBA Pune university for Academic year 2013-14
Subject Name: Statistical Software Lab
Subject Type: Generic- Elective ( Internal Subject for Sem II)
Subject Code: 208
Distribution of Marks: 50 (Internal Marks by College)
1.1 An Overview of Statistical Software: Introduction to SPSS / SAS/ Systat. Introduction to various menus, Data file, Output file, Frequently –used dialog boxes, Editing output, Printing results. Creating and editing a data file – Variable and data view, Value Labels.
1.2 Managing Data: Listing cases, replacing missing values, computing new variables, recording variables, exploring data, selecting cases, sorting cases, merging files, splitting files, Visual Binning. (4 + 1)
2.1 Frequencies: Frequencies, bar charts, histograms, percentiles
2.2 Descriptive Statistics: Measures of central tendency, variability, deviation from normality, size and stability. Cross Tabulation and chi-square analyses, The means Procedure
2.3 Graphs: Creating and editing graphs and charts (4 + 1)
3.1 Bivariate Correlation: Bivariate Correlation, Partial Correlations and the correlation matrix
3.2 The T-test Procedure: Independent –samples, paired samples, and one sample tests
3.3 Non Parametric Tests: ChiSquareTest, 1 sample test, 2 independent samples test, k independent samples, 2 related samples test, k related samples, (4 + 1)
4.1 One Way ANOVA Procedure: One way analysis of variance, General Linear model:Two –way analysis of variance, General Linear model: three –way analysis of variance and the influence of covariates (5 + 1)
5.1 Advanced Tools: Simple Linear Regression , Multiple regression analysis Multidimensional scaling, Reliability Analysis, Factor analysis, Cluster analysis. (8 + 1)
The entire course has to be taught using a hands-on approach.
Students should be encouraged to use the 30 day trial version of relevant software packagening
• SPSS for Windows – Step by Step, 17.0 Update, by George and Mallery, Pearson, 10th Edition.
• Research Methodology with SPSS by Rao and Tyagi, Shree Niwas Publications, 2009.
• Ready, Set, Go! – A student Guide to SPSS for Windows by Pavkov and Pierce, TMGH Edition.
• Discovering Statistics using SAS by Andy Field & Jerry Miles, Sage Publications, 2010.
Supplementary Reading Material
• Journal of Statistical Software