DEPARTMENT OF STATISTICS

FACULTY OF SCIENCE

COURSE OF STUDY

RULES FOR CERTIFICATE COURSE IN SPSS

R.CCSPSS.1:A candidate who has passed the Bachelor’s degree examination in any faculty of this University under 10 + 2 + 3 or an examination recognized as equivalent thereto with at least 40 percent of marks will be considered eligible for admission to the “Certificate Course in SPSS” subject to other admission criteria prescribed in that behalf. In addition, the candidate should have studied at least one course in basic Statistics / Mathematics.

R.CCSPSS.2:In this Course the candidates shall under go training in statistical software SPSS. The course is of 60 hour duration and it will be run combining both class room teaching and computer practicals. The Course is expected to be covered in 10 weeks teaching. The course being part-time it will be conducted mainly on Saturdays and / or Sundays. If demand arises a crash course may be run during vacation with minimum two weeks duration.

R.CCSPSS3: The course coordinator will be in charge of the examinations. One internal test of 30 marks after approximately 24 hours teaching will be conducted by the Department. At the end of the Course, a theory examination of 70 marks and a practical examination of 100 marks will be held. The following grading scheme will be adopted to issue the certificate.

                    The details of the performance will be submitted to the University and Certificate will be issued by the University.

R.CCSPSS4: The following is the syllabus of the certificate course

Introduction: Samples and the Population, Scale  of Measurement,Independent and Dependent Variables, Data Access.

Data Checking :Viewing a Few Cases ,Minimum, Maximum and Number of Valid Cases,Identifying Inconsistent Responses, When Errors are Discovered, SPSS Missing Values Option

Describing Categorical Data: Frequency Tables and Bar Charts, Standardizing the Chart Axis, Pie Charts

Comparing Groups (Categorical Data): A Basic Two-Way Table, Chi-Square Test of Independence, Requesting the Chi-Square Test,  Different Tests for independence,  Association Measures Available within Crosstabs, Graphing Cross Tabulation Results, Three-Way Tables, Extensions

Exploratory Data Analysis: Interval Scale Data: Frequency Tables and Histograms, Exploratory Data Analysis, Options with Missing Values, Measures of Central Tendency, Variability Measures, Confidence Band for Mean , Shape of the Distribution ,Stem & Leaf Plot ,Box & Whisker Plot, Saving an Updated Copy of the Data

Mean Differences Between Groups I: (Simple Case)Logic of Testing for Mean Differences, Sample Size, Exploring the Different Groups, T- Test, Displaying Mean Differences, Paired T Test , Normal Probability Plots

Mean Differences between Groups II :( One Factor ANOVA) Logic of Testing for Mean Differences, Factors, Exploring the Data, Running One-Factor ANOVA, One-Factor ANOVA Results, Post Hoc Testing of Means, Graphing the Results, 

Mean Differences between Groups III: (Two Factors ANOVA): Logic of Testing and Assumptions, How Many Factors? Interactions, Exploring the Data, Two-Factor ANOVA, the ANOVA Table, Observed Means, Presenting the Results Bivariate Plots and Statistics: Reading the Data, Exploring the Data, Scatter plots, Correlations

Introduction to Regression : Introduction and Basic Concepts, The Regression Equation and Fit Measure, Residuals and Outliers, Assumptions, Simple Regression, Multiple Regression, Residual Plots ,Multiple Regression Results, Residual and Outlier Results ,Summary of Regression Results, Stepwise Regression, Stepwise Regression Results, Stepwise Summary.

R.CCSPSS4:The intake and the fee structure of the course is as under

Total number of seats for the course is 20.

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