Data Analysis using SPSS (Skill Enhancement Course)

Paper Code: 
25SSTT501
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will review topics in statistics studied in core for data analysis. Introduction to SPSS for statistical computing, analysis and graphical interpretation would be done using software skills.

 

Course Outcomes: 

Course

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

25SSTT501

Data Analysis using SPSS

(Practical)

CO 1. Apply advanced graphical representation techniques to effectively visualize and interpret complex datasets.

CO 2. Apply measures of central tendency to analyze and interpret data to draw meaningful conclusions from data.

CO 3. Evaluate measures of dispersion demonstrating advanced understanding of data variability and spread.

CO 4. Demonstrate proficiency in fitting polynomials, exponential curves, and plotting probability distributions to model data distributions accurately.

CO 5. Apply hypothesis testing methods to make inferences and draw conclusions from data samples.

CO6: Contribute effectively in course-specific interaction

Approach in teaching

Interactive Lectures,

Group Discussion,

Classroom Assignment

Problem Solving Sessions

 

Learning activities for the students:

Assignments

Seminar

Presentation

Subject based Activities

Software based Assignments,

Class Test,

Individual Presentation,

Record,

Viva-voice

 

12.00
Unit I: 
Data Visualization Techniques

Graphical representation of data by histograms, frequency polygon, Pie chart, ogives, boxplot and stem-leaf. 

12.00
Unit II: 
Central Tendency

Measures of central tendency: Mean, Median, Mode.

 

12.00
Unit III: 
Dispersion

Measures of dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation.

12.00
Unit IV: 
Statistical Modeling Essentials

Fitting of polynomials, exponential curves and plotting of probability distributions. Correlation and regression.

 

12.00
Unit V: 
Statistical Testing Methods

Testing of hypothesis: Chi-Square, t and F

Essential Readings: 
  • Karuthan Chinna, Krishnakumari Karuthan, Choo Wan Yuen (2012) Statistical Analysis Using SPSS, Pearson Publications.
  • Cunningham, B.J (2012): Using SPSS: An Interactive Hands-on approach.
  • S.C. Gupta and V.K. Kapoor (2002): “Fundamentals of Mathematical Statistics”, Eleventh edition, S. Chand & Compan.

 

SUGGESTED READINGS: 

  • D. Ball and G. D. Buckwell, “Statistics A Level”, Second edition,Macmillan Press Ltd. 
  • A.M.Goon, M.K.Gupta and B.Das Gupta, “Fundamental of Statistics” Vol I, Calcutta University Press.
  • B.L. Agarwal, “Basic Statistics”, New Age Publications.
  • S.P. Gupta, “Statistical Methods”, Sultan Chand Publishers
  • D. C. Sancheti, V. K. Kapoor, “Statistical Methods”, Sultan Chand and Sons.         

 

 e-RESOURCES:

 

JOURNALS:

 

Scheme of Evaluation for Continuous Assessment

Practical (30 %)

Time Duration: 60 minutes

Students are required to attempt 2 questions Out of 3 questions.

Experiment 1

Experiment 1

 Practical Record

Viva Voce

Attendance

Total

5

5

10

05

05

30

 

 

 

 

 

 

 

 

Scheme of Evaluation for Semester End Examination

Practical (70 %)

Time Duration: 3 hrs.

Students are required to attempt 3 questions Out of 5 questions.

Experiment 1

Experiment 2

Experiment 3

VIVA VOICE

TOTAL

20

20

20

10

70

 

 

Note: Scientific calculators are allowed in all papers of continuous assessment and semester end exam.

 

Academic Year: 
2025-2026
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