This course will enable students to gain practical knowledge of SPSS software, including data entry, descriptive and bivariate statistics, and graphical data representation.
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 COURSE  | 
 Course Outcomes  | 
 Learning and teaching strategies  | 
 Assessment Strategies  | 
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 Course Code  | 
 Course Title  | 
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 24CPSY402  | 
 Introduction to SPSS (Practical) 
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 CO37: Students will acquire basic knowledge of SPSS software. CO38: Understand the process of descriptive statistics and demonstrate knowledge regarding bivariate analysis of data. CO39: Demonstrate an understanding of t-test, ANOVA and chi-square techniques of data analysis. CO40: Contribute effectively in course-specific interaction.  | 
 Approach in teaching: Discussion, Demonstration Learning activities for the students: Hands on practice, Assignments  | 
 Observation, Presentation of results, interpretation of findings  | 
Exercise 
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 1  | 
 Entering and Editing Data: Importing from Excel; Characteristics of Variables; Adding Value Labels; Grouping Data 
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 2  | 
 Measures of central tendency: mean, median and mode 
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 3  | 
 Measure of Dispersion: Range, Quartile Deviation, Standard deviation  | 
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 4  | 
 Graphical representation of data: Bar Charts; Histograms; Pie Charts; Boxplots 
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 5  | 
 Correlation: Pearson Method and Rank order correlation 
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