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Statistics in Behavioural Sciences (Theory) [1]

Paper Code: 
25PSY122
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to develop a foundational understanding of statistical methods in behavioral sciences, including both descriptive and inferential statistics, to effectively analyze and interpret data in psychological research.

 

 

Course Outcomes: 

COURSE

Course Outcomes

Learning and teaching strategies

Assessment Strategies

Course Code

Course Title

25PSY122

Statistics in Behavioral Sciences

(Theory)

 

CO7: Appraise the basic concepts in inferential and descriptive statistics in interpretation of data.

CO8: Propose the use of appropriate correlational & Regression models and methods to analyze data.

CO9: Compare the inferential statistical methods and the usability across samples.

CO10: Determine the uses of different methods of analysis of variance.

CO11: Apply and interpret parametric and non-parametric tests and understand their utility.

CO12: Contribute effectively in course-specific interactions

Approach in teaching:

Interactive Lectures, Discussion

Learning activities for the students:

Self-learning assignments, application based questions, Seminar presentation

Class test, Semester end examinations, Quiz, Assignments, Presentation

 

 

 

12.00
Unit I: 
Definition and Purpose of Statistics

Cumulative Distribution, Normal Distribution, Nature of Normal Distribution, Divergence from Normality - Kurtosis and Skewness; Application of Normal Probability Curve

 

12.00
Unit II: 
Special Correlational Methods

Biserial, Point Biserial, Phi-Coefficient, Tetrachoric Correlation; Regression and Prediction Analysis; Least Square Solution – Linear

 

12.00
Unit III: 
Inferential Statistics

Significance of Mean, S.D., Coefficient of Correlation; Testing Experimental Hypothesis- Z Test, t-Test, Chi-Square, rho.

 

12.00
Unit IV: 
Analysis of Variance

One Way and Two Way, General Uses and Limitations

 

12.00
Unit V: 
Non-Parametric Statistics

Median Test; Mann-Whitney ‘U’ Test; Friedman Two-Way Analysis of Variance

 

Essential Readings: 
  • Garrett, H.E. (2005). Statistics in Psychology and Education. New Delhi: Paragon International Publishers.
  • Mangal, S.K. (2002). Statistics in Psychology and Education. New Delhi: Prentice Hall India.
  • Minium, E.W., King B.M. & Bear, G. (1995). Statistical Reasoning in Psychology and Education. New York: John Wiley & Sons.
  • Seigel S. (1988). Nonparametric Statistics in Behavioral Sciences. New York: McGraw Hill.

Suggested Readings

  • Freund, R. J., & Wilson, W. J. (2003). Statistical methods. Elsevier.
  • Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Cengage Learning.
  • Singh, A.K. (2017). Tests, Measurements and Research Methods in Behavioural Science. Patna: Bharti Bhavan.
  • Welkowitz, J., Ewen, R.B. & Chocen J. (1982). Introduction to Statistics for Behavioural Sciences. New York: Academic Press.

E-Resources

 

 

 

 

Academic Year: 
2025-2026 [6]

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Source URL: https://www.psychology.iisuniv.ac.in/courses/subjects/statistics-behavioural-sciences-theory-0

Links:
[1] https://www.psychology.iisuniv.ac.in/courses/subjects/statistics-behavioural-sciences-theory-0
[2] https://labs.la.utexas.edu/gilden/files/2016/05/Statistics-Text.pdf
[3] https://www.slideshare.net/slideshow/normal-distribution-skewness-and-kurtosis-234859910/234859910
[4] https://www.simplypsychology.org/anova.html
[5] https://www.slideshare.net/slideshow/non-parametric-statistics-70145722/70145722
[6] https://www.psychology.iisuniv.ac.in/academic-year/2025-2026