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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

Marks: 50

Distribution of Marks: 50 (Internal Marks by College)

Unit 1

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)

Unit 2

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)

Unit 3

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)

Unit 4

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)

Unit 5

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

Text Books

• 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.

Reference Books

• 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

• http://www.inc8.jp/ps/T9_Luque_imec.pdf

• http://www.jstatsoft.org/v49


• www.sas.com

• www.xlstat.com

• www.stata.com

• www.ibm.com/software/analytics/spss/


• Journal of Statistical Software

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